Journal of Marine Science and Technology
Tạp chí của Trường Đại học Hàng hải Việt Nam
GREEN PORT DEVELOPMENT IN HAI PHONG PORT
The paper examines the current situation of green port development in Hai Phong port - what measures are being implemented - how they are benefiting the port and how the port is still lagging behind. The ports included are managed by Hai Phong port Joint Stock Company. The criteria applied are drawn from Vietnam National Green Port Criteria, which will be compulsory in 2030, and international sets of standards from ASEAN, Europe and America. Based on such reviews and practical analysis drawn from the compilation of secondary data, this thesis will identify the possible barriers and challenges, and then provide actionable recommendations suitable for Hai Phong port’s future development plan.
DIGITAL TRANSFORMATION AND SEAPORT LABOUR CHALLENGES IN THE HAIPHONG PORT
Digital technologies such as Big Data, the Internet of Things (IoT), and Blockchain, when applied in conjunction with the increasing prevalence of digitization and automation, are posing certain challenges to modern ports. The potential stemming from the application of these technologies has been evident in enhancing port operation efficiency, while labor productivity has also been improved through the restructuring of workflows. The subsequent sections of the article will discuss related trends and the development of seaports in the digital era, along with their impact on new skill requirements for workers. This development aligns with the stages of port evolution, namely digitization and automation, as well as the cultivation of new hard and soft skills in port operations, which are said to be shaped by technology-driven trends.
APPLICATION THE FUZZY AHP-TOPSIS METHOD IN SELECTING SOFTWARE PROVIDERS FOR CONTAINER INSPECTION AT DEPOTS, HAIPHONG SEAPORT
With the rapid development of technology and the trend of digital transformation in port operations, warehousing, and depots, container depot operators have shifted towards attracting customers and competing based on the level of technology application in depot operations. Therefore, businesses providing container depot services need to focus on selecting suitable suppliers and operational software to optimize operational efficiency and improve service quality for their enterprises. In this study, the integrated Fuzzy AHP-TOPSIS model is proposed to evaluate and select software providers for container depot operations. Firstly, the Fuzzy AHP hierarchical analysis method is used to build the weight set for evaluation criteria, consisting of eight criteria: service quality, cost, reliability, company reputation in the industry, level of information sharing, system customization flexibility, quality of warranty and maintenance management, and geographical location. Next, the Technique for Order of Preference by Similarity to Ideal Solution (TOPSIS) ranking model is used to evaluate and rank suppliers, selecting the best supplier for the enterprise.
A STUDY ON INTRA-INDUSTRY TRADE IN THE VIETNAM-CHINA TEXTILE AND GARMENT SECTOR AND STRATEGIC INTERNATIONAL BUSINESS DIRECTIONS FOR ENTERPRISES
This study evaluates the current state of intra-industry trade in the textile and apparel sector between Vietnam and China using the gravity model to identify the factors influencing bilateral trade flows. First, the study synthesizes and systematizes the theoretical foundations of intra-industry trade and the gravity model, establishing a basis for analysis. Next, it develops a measurement model for intra-industry trade in textiles and apparel between Vietnam and China. Based on the obtained results, the study assesses the impact of factors such as economic size, per capita income, geographical distance, and agreements on intra-industry trade in this sector. The findings clarify the influence of variables in the model on intra-industry trade between the two countries, providing a foundation for proposing specific solutions to promote textile and apparel trade. These solutions not only aim to enhance the competitiveness of Vietnamese textile and apparel enterprises but also focus on developing appropriate international business strategies to help firms expand their market share and strengthen their position in the Chinese market.
APPLICATION OF GREEN BLOCKCHAIN AND ALGORAND ALGORITHM IN AGRICULTURAL PRODUCT TRACEABILITY: THE CASE STUDY OF COFFEE SUPPLY CHAIN IN VIETNAM
Truy xuất nguồn gốc ngày càng trở thành một yêu cầu bắt buộc trong hoạt động xuất khẩu nông sản. Tuy nhiên các nỗ lực trong phát triển IoT và các phần mềm truyền thống chưa đáp ứng được yêu cầu ngày càng tăng về tính minh bạch và bền vững của chuỗi. Nghiên cứu này đề xuất ứng dụng công nghệ Green Blockchain để truy xuất nguồn gốc nông sản với trường hợp ứng dụng điển hình trong chuỗi cung ứng cà phê Việt Nam. Bằng việc sử dụng cơ chế đồng thuận PoS cùng thuật toán Algorand, mô hình đề xuất cho phép thu thập dữ liệu theo thời gian thực, đảm bảo tính bất biến của dữ liệu, đồng thời cải thiện tính minh bạch và hiệu quả trong trao đổi thông tin giữa các bên liên quan. Bên cạnh đó, giải pháp này còn góp phần số hóa toàn bộ chuỗi cung ứng nông sản với tác động tối thiểu đến môi trường, là một bước tiến quan trọng trong việc thúc đẩy tính bền vững và khả năng cạnh tranh của nông sản Việt Nam trên thị trường quốc tế.
FACTORS OBSTRUCTING THE APPLICATION OF BLOCKCHAIN TECHNOLOGY AT LOGISTICS SERVICE PROVIDING COMPANIES IN HAI PHONG
Blockchain technology has been around for quite some time since the inception of Bitcoin in 2008, but it has only recently been expanded to various other fields, including Logistics. Blockchain is believed to be a breakthrough for the development of the logistics industry [1]. However, in Vietnam, especially in Hai Phong city, the application of this technology is still very limited due to various reasons. The objective of this study is to use methods such as Cronbach’s Alpha reliability analysis, regression analysis, and exploratory factor analysis (EFA) to identify and rank the factors hindering the application of Blockchain. The authors' group identified 6 influencing factor groups, among which the "Environmental Influence" group has the greatest impact. This will help businesses make appropriate strategies and decisions. The research findings provide a reference foundation for logistics enterprises in Hai Phong to formulate strategies aimed at mitigating barriers and enhancing the adoption of Blockchain technology.
RESEARCH ON THE ROLE OF BLOCKCHAIN TECHNOLOGY IN GREEN SHIPPING
The shipping industry, with its important role in the global supply chain and being one of the major greenhouse gas emitters, is facing an urgent need to transition to sustainable development. This study investigates the role of Blockchain technology in supporting green shipping, focusing on its ability to enhance transparency, efficient supply chain management, and emission reduction. Through structural equation modeling (SEM), the study results have shown the positive impact of blockchain technology on both the operational efficiency and environmental performance of shipping enterprises. The study has important implications for promoting the development of green shipping, contributing to the goal of sustainable development.
RESEARCH ON FACTORS AFFECTING THE EFFICIENCY OF THE COLD SUPPLY CHAIN FOR FRESH AGRICULTURAL PRODUCTS IN VIETNAM
The cold chain has the capability to maintain and control humidity, temperature, and other storage conditions for specific types of goods. Its primary objective is to ensure proper storage requirements and extend the shelf life of products before they are distributed to the market. The cold chain provides businesses with additional time for distribution and product delivery to consumers, thereby enhancing customer satisfaction. This study aims to identify the factors influencing the performance of the cold chain for fresh agricultural products in Vietnam. By surveying 117 enterprises, including cooperatives, logistics companies, processing enterprises, and product distributors, and analyzing data using statistical methods such as Cronbach’s Alpha, exploratory factor analysis (EFA), and linear regression, the study identifies three key factors that significantly impact cold chain efficiency: logistics infrastructure, market demand, and government policies and regulations. The findings provide valuable insights to support businesses in developing long-term and appropriate strategies to enhance cold chain efficiency and optimize costs.
RESEARCH ON THE INFLUENCE OF THE PORT CITY ECONOMIC FACTORS ON THE THROUGHPUT OF HAI PHONG SEAPORT
Hai Phong Port is the largest general port in the North, an international gate to Vietnam with a long tradition associated with the development of the city and the region. In recent years, Hai Phong‘s seaport throughput has grown strongly, accounting for 13% of Vietnam's total throughput (Vietnam Maritime Administration). Playing a key role in this achievement must be the role of the city's economic factors that provide resources and great advantages for the growth in Hai Phong’s seaport throughput. This study aims to investigate the impact of Hai Phong’s economic factors on Hai Phong’s seaport throughput using the error correction vector model (VECM). The results indicate that Gross regional Domestic Product (GRDP), Foreign Direct Investment (FDI) and Import-Export Turnover have positive impact on Hai Phong’s seaport throughput. This study’s findings contribute significantly to both the academic and practical aspects of studying the relationship between port cities and seaports.
THE ROLE OF DIGITAL TRANSFORMATION IN ENHANCING OPERATIONAL EFFICIENCY AND MARKET SHARE COMPETITIVENESS OF MAJOR CONTAINER PORTS IN SOUTHEAST ASIA (2019-2023)
This study analyzes the relationship between digital transformation, operational efficiency, and market share competitiveness of major container ports in Southeast Asia during the period 2019-2023. By utilizing indicators such as growth rate, actual throughput, shift-share analysis, and operational efficiency (DEA), the study clarifies the role of digital transformation in enhancing the competitive capacity of ports. The study emphasizes that digital transformation is not only a key factor in optimizing operational efficiency but also plays a crucial role in maintaining and increasing market share. Specifically, digital transformation helps ports improve productivity, reduce operating costs, and enhance logistics connectivity in the global supply chain. The findings of this study provide important insights for container ports in Southeast Asia to develop sustainable strategies, contributing to strengthening the region's position in international maritime trade.
RESEARCH ON FACTORS INFLUENCING THE CONTAINER SHIPPING THROUGH INLAND WATERWAYS IN NORTHERN VIETNAM
Container shipping via inland waterways plays an important role in alleviating pressure on other transport modes, serving as a vital link for maritime transport and promoting sustainable development in the transport industry. Although the North of Vietnam having numerous advantages, such as an extensive network of rivers, which creates significant potential, container shipping via inland waterways has not yet achieved the expected results. Therefore, this study aims to rank the importance of the factors affecting the development of container shipping via inland waterway in the northern region of Vietnam, employing the Fuzzy Analytic Hierarchy Process (FAHP) for assessment. Based on the importance ranking of these factors, critical solutions will be suggested to address this issue.
EXPLORING FACTORS INFLUENCING MULTI-STAKEHOLDERS’ CONTAINER ROUND-USE PLATFORM ADOPTION IN VIETNAM
Voyages of empty containers incur high expenses for the entire supply chain. Several container round-use platforms have been introduced as innovative solutions to better pool these empty boxes. This quantitative study aims to identify factors influencing the adoption of container round-use platforms in Vietnam. Employing the Technology-Organization-Environment (TOE) framework, the research explores contextual factors at the firm level that influence technological innovation adoption. 349 valid responses were collected through an online survey from 1st to 25th July 2023. The data are analyzed using Partial Least Squares Structural Equation Modeling (PLS-SEM). The findings indicated factors significantly influencing the adoption of container round-use platforms including cost, ease of use, usefulness, relative advantage, firm size, top management support, and workforce. By exploring these factors comprehensively, this research not only validates established adoption drivers but also unveils novel insights into enhancing platform adoption strategies in Vietnam. This study contributes uniquely to the literature by bridging theoretical gaps and offering practical implications for stakeholders seeking to enhance logistical efficiency and sustainability through advanced technological solutions in container logistics.
ACCESS CONCENTRATION AND COMPETITION IN THE CONTAINER SHIPPING MARKET
Container shipping is the backbone of the logistics system and the main mode of transportation in global trade. Currently, the container shipping market share tends to be dominated by a few large container shipping companies. In addition, the merge and acquisition of container shipping companies occurring frequently in recent years have caused many changes in this market. Its concentration and competitiveness shape the market structure and have a profound impact on the development of the glabal trade. Understanding the development of large shipping companies, its the concentration and competitiveness helps policy makers formulate appropriate policies. Therefore, the purpose of this study is to measure the concentration and competitiveness of the container shipping market in the period 2018-2024 through the concentration ratio (CR) and Herfindahl-Hirschman Index (HHI). The research results show that 0.1 ≤ HHI ≤ 0.18 and 40%≤CR4≤60%, therefor the container shipping market is average concentration level or monopoly competition.
THE BLUE ECONOMY: A COMPREHENSIVE ANALYSIS OF ITS NECESSITY AND THE CHALLENGES FACED IN VIETNAM'S GULF OF TONKIN REGION
This research contributes to the development of Vietnam's blue economy by providing an in-depth analysis of the challenges in state management of the maritime sector in the Gulf of Tonkin. The study identifies three main groups of challenges: (1) The legal framework for controlling pollution from ships is incomplete; (2) Inter-regional coordination in port management is limited; (3) The enforcement and monitoring capacity of state agencies needs to be enhanced. The research proposes specific solutions, including the development and improvement of legal documents on the marine environment, the establishment of effective cooperation mechanisms between localities, and increased investment in human resource training and equipment for management agencies. The research findings provide a scientific basis for policy making and the implementation of effective management measures, contributing to the sustainable development of the maritime industry and the blue economy in the Gulf of Tonkin.
RESEARCH ON GREEN PORT STRATEGY IN THE WORLD AS A USEFUL LESSON FOR THE SUSTAINABLE DEVELOPMENT OF VIETNAM'S SEAPORTS
Vietnam, with its extensive coastline and growing maritime activity, is strategically positioned to benefit from the global shift toward sustainable port development. The implementation of green port strategies worldwide offers valuable lessons as Vietnam charts its own path toward port sustainability. This article examines global green port initiatives and their applicability to Vietnam's context, analyzing current developments, challenges, and opportunities for the future. The findings suggest that Vietnam has made significant progress in adopting green port practices but requires continued investment and policy support to fully realize the environmental and economic benefits of sustainable port development.
RESEARCH ON APPLYING DEEP LEARNING NETWORKS IN LANE DETECTION FOR SELF-DRIVING VEHICLE SYSTEMS
Automatic lane detection technology plays a crucial role in enabling self-driving cars to accurately position themselves in multi-lane urban traffic environments. However, recognizing lane markings under different weather conditions remains a significant challenge for traditional image processing methods and computer vision techniques. This study makes a substantial contribution by applying deep learning networks to address the problem of lane detection in autonomous vehicle systems. Specifically, the authors employed an Encoder-Decoder model with a fully convolutional network to effectively detect lanes. The research and experimental processes were conducted rigorously, yielding impressive results with an accuracy of up to 97.82%.
AN OPTIMIZATION-BASED APPROACH FOR CALCULATION OF FLOATING STRUCTURES’ MOORING LINES
This paper proposes a new method of calculating mooring lines by using the particle swarm optimization algorithm (PSO) to solve the analytical equations describing the mooring line trajectory. The equations of water depth and mooring line length are applied to establish the objective function of the PSO algorithm. The unknowns are the mooring line tilt angle at the bottom and the drift of the floating object are solved automatically by this algorithm. Thereby, the parameters to determine the trajectory and tension of the mooring line are also determined. This calculation method opens up a new approach for calculating this type of structure besides the popular methods today such as the analytical method, the finite element method, etc..
FIXED-TIME SLIDING MODE CONTROL OF RUBBER-TIRED GANTRY CRANES
In this paper, a fixed-time robust control algorithm is developed to minimize the tracking trajectory error of the rubber-tired gantry crane system. Firstly, a robust controller is designed based on sliding mode control theory to ensure the output of this system reaches the desired value. Then, the stability analysis of the proposed method based on Lyapunov stability theory, and the calculation of the convergence time are presented, which enables the operator to control the convergence time of the system through the control parameters. Finally, numerical simulation is implemented to verify the effectiveness of the proposed controller in tracking the desired trajectory and having a fixed convergence time.
RESEARCH ON PARAMETER OPTIMIZATION FOR PID CONTROLLER TO STABILIZE SHIP TRAJECTOR USING GENETIC ALGORITHM
Accurate and stable ship heading control is crucial for ensuring maritime safety and operational efficiency. PID controllers have been widely used in ship autopilot systems, however, fine-tuning the PID controller parameters to achieve optimal performance in complex and constantly changing operating conditions is a major challenge. To overcome the above limitations, this paper proposes the use of a Genetic Algorithm (GA) to optimize the parameters of the PID controller, forming a GA-PID controller to improve the quality of the controller. Thereby, this study contributes to improving the performance and reliability of the ship's autopilot system.
STUDY ON THE CALCULATION OF THE LOAD-BEARING CAPACITY OF PRESTRESSED REINFORCED CONCRETE SHEET PILES IN RETAINING WALL STRUCTURES USING FRACTURE MECHANICS THEORY
The use of fracture mechanics theory in the design of reinforced concrete retaining walls is an advanced method that helps to more accurately assess the load-bearing capacity and durability of the structure, especially when considering the formation and propagation of cracks in the material. In this paper, the author analyzes the structural components of a revetment constructed from prestressed reinforced concrete piles and introduces a calculation method based on fracture mechanics theory. Through the comparison of calculation results from a specific example, the author evaluates the advantages and limitations of applying fracture mechanics theory and TCVN 5574:2018 in the design of retaining structures using prestressed reinforced concrete piles. The results of crack width calculations according to Eurocode 2-2004 are significantly smaller than those according to TCVN 5574:2018. Based on this, the author proposes applying crack width calculations based on Eurocode 2-2004, which utilizes the Linear Elastic Fracture Mechanics (LEFM) model. This model aligns with the assumptions of elastic behavior in concrete and reinforcement under normal loading conditions, simplifying the calculation process while ensuring the necessary accuracy. It is well-suited for the design of revetment structure using prestressed reinforced concrete sheet piles in Vietnam.
RESEARCH ON REDUCING PITCHING MOTION FOR FLOATING STRUCTURES USING ECCENTRIC MASSES
Floating structures have been applied in many fields such as housing, ports, wind turbines,... Under the action of wave and wind loads, the floating structure will have pitching motion. This can cause danger to the structure or discomfort to the user. Therefore, it is necessary to study suitable devices to reduce pitching motion of floating structures. This paper introduces the application of eccentric mass device to suppress pitching motion of a rectangular box structure. The equations of motion of the floating structure-eccentric mass system are established. The system is assumed to be subject to harmonic excitation. The effectiveness of the device is demonstrated through numerical simulation results. The Pareto front with different masses of the device has also been investigated.
SAFETY MANNING OF VESSELS IN THE CONTEXT OF DIGITAL TRANSFORMATION AND APPLICATION OF NEW TECHNOLOGY
The maritime industry is undergoing profound transformation with the rapid integration of digitalization and ship automation. While digitalization promises to bring greater safety, efficiency and sustainability, it also poses new challenges in ensuring safe manning of vessels. This study analyses the impact of increased digitalization on safe manning of ships focusing on seafarer job security, occupational safety and health, and the changing digital operational skills and duties of seafarers. It also examines the role of regulatory bodies and maritime industry stakeholders in revising policies and training models to ensure seafarers are well prepared for the future. The study finds that future commercial ships will be heavily digitalized, especially in the bridge and engine control room, which will significantly change the competencies and responsibilities of seafarers. Therefore, advanced training in digital technology, cybersecurity and seafarer welfare is needed to ensure that seafarers are adequately prepared for the increasing demands of modern ships. Regulators, industry stakeholders and training institutions need to work together to overcome the challenges of digital transformation and maintain a focus on maritime safety.
CALCULATION OF CRITICAL FLUTTER WIND SPEED OF LONG-SPAN BRIDGES WITH FLAPS FIXED TO THE HANGERS BY USING REVISED STEP-BY-STEP METHOD
Long-span bridge decks are very sensitive to the effects of wind. One of the methods to increase the critical wind speed is to install flaps to create additional aerodynamic forces. This paper presents the calculation of the critical flutter wind of a bridge deck section model with flaps fixed to the hanger by using Revised Step-by-Step method. The Logarithmic resistance and flutter frequency are investigated over the entire wind speed range. The calculation results in the paper are the fundamental for further studies on improving the installation of aerodynamic control method.
EFFECTS OF CURING TEMPERATURE ON THE MECHANICAL PROPERTIES OF NATURAL POZZOLAN - CONCRETE
The effects of curing temperature on the mechanical properties of concrete using natural pozzolan as cement replacement with the ratio of 20% by mass was investigated. Samples was cured at various temperatures of 10oC, 20oC, 30oC and 50oC until testing days. It is reported that for normal concrete without pozzolan cured at high temperature 50oC will have higher early age compressive strength (1, 3 and 7 days) than concrete cured at temperature of 10oC to 30oC but the late age of 28 days compressive strength is lower. However, for concrete using pozzolan as a partial replacement for cement, concrete cured at a high temperature of 50oC has a higher strength than that of other concrete cured at a temperature of 10oC to 30oC at ages from 1 to 28 days. It is possible that the pozzolanic reaction rate of natural pozzolan is usually slower than the hydration reaction of cement, so the negative effect of temperature on the strength development of cement was compensated by the strength development of natural pozzolan after 28 days of curing. Although the elastic modulus of concrete has the same trend as the compressive strength, the variation of elastic modulus is not as clear as the compressive strength.
RESEARCH ON THE EFFICIENCY OF CARGO TRANSPORTATION AND EMISSIONS OF VESSELS AT MPC HAI PHONG PORT
The Paris Agreement reached at COP26 is carbon neutrality by 2050. In particular, the maritime industry has also made efforts to reduce emissions. The IMO's 2023 strategy for reducing greenhouse gas emissions from ships sets the target: Reduce at least 20% of total annual greenhouse gas emissions from international shipping Reduce at least 70% of total annual greenhouse gas emissions from international shipping, striving to reach 80% by 2040 compared to 2008 and almost zero by 2050. In that context, the requirement for Vietnamese seaports to implement the Prime Minister's commitment to be carbon neutral by 2050. Therefore, research on managing emissions from ships operating at MPC seaports is an urgent requirement. The research results show that the amount of emissions from ships at seaports is very large, 183,948.29 kg in November 2024, the ratio between emissions and cargo circulation efficiency through the port has a very large difference (13.31 times). Therefore, this result is the basis for developing policies and solutions to control emissions of ships operating at seaports, contributing to the implementation of the green port development project in Vietnam.
OVERVIEW RESEARCH ON HUMAN FACTORS IN MARITIME SAFETY
Research on maritime accident data has shown that about 80% the causes of maritime accidents are related to human factors, including errors in the work process, subjectivity, lack of knowledge, training and poor management. In addition, human structure, awareness and safety culture in the organization also play an important role. Therefore, a complete assessment of human factors in the maritime field will provide a clear and basic source of knowledge before implementing measures to improve, enhance efficiency and ensure subsequent safety more easily. In this paper, we focus on clarifying issues related to human factors in ensuring maritime safety, explaining terms, assessing the impact of maritime accidents and analyzing published research data to provide an overview of this issue.
EVALUATE BENEFITS OF VESSEL TRAFFIC SERVICE SYSTEM IN HAI PHONG PORT AREA
The Vessel traffic service (VTS) system plays an increasingly important role in ensuring traffic safety, improving efficiency and protecting the maritime environment. However, the benefits of VTS have not been fully recognized. In addition, previous assessments often have problems such as: difficulty in collecting data for the parameters of the assessment model; those models do not take into account factors such as reducing the frequency of patrols by channel clearing canoes and saving manpower; it is difficult to distinguish clear benefits when using VTS or not using VTS. In this paper, the benefits of VTS in Hai Phong will be calculated according to the main indicators (safety, traffic efficiency, environmental protection and reducing monitoring costs) applying quantitative methods. When calculating the benefits, the base point is taken as the time before the operation of the Hai Phong VTS system with data from the period 2017-2024. According to the results, the greatest contribution is the environmental protection benefit including the reduction of emissions. Through the cost-benefit analysis, the benefit/cost ratio of VTS is up to 4.832, indicating the great benefits from VTS. This result is evidence for the best reference to evaluate the benefits of VTS system and optimize investment in VTS system for seaport areas.
DEVELOPING SOLUTIONS TO MONITOR INLAND WATERWAY VESSEL ON COASTAL ROUTES BASING ON RADAR/AIS DATA PROCESSING
Currently, according to regulations, inland waterway vessels are only allowed to operate on coastal routes issued by the Ministry of Transport of Vietnam. However, most of these vessels often operate outside the permitted routes to save time and fuel,... and in order to avoid detection, these vessels often turn off the AIS device (AIS - Automatic Indentification system), move into the blind zone of radar,… The article proposes a solution to monitor inland waterway vessel operating on coastal routes basing on Radar/AIS data to enhance marine safety on Vietnam's coastal shipping route.
RESEARCH ON THE DESIGN AND FABRICATION OF LEAN MATERIAL SUPPLY STATIONS FOR PRODUCTIVITY IMPROVEMENT IN INDUSTRIAL MANUFACTURING
In industrial factories, labor productivity and workers' health are becoming significant challenges, particularly at material supply stations. Workers often have to perform manual tasks such as pulling, pushing into, pushing, and carrying, which lead to a high risk of musculoskeletal issues and declining health. Additionally, the current material supply process frequently experiences errors, instability, and requires a large workforce, causing production interruptions and increasing operational costs. To address these issues, this paper focuses on the research, design, and development of a lean material supply station aimed at improving productivity in industrial manufacturing.
DESIGN OF AN ADAPTIVE PID CONTROLLER FOR A CABLE-DRIVEN PARALLEL ROBOT BASED ON NEURAL NETWORKS
The purpose of this research is to improve the controller performance of a cable-driven parallel robot (CDPR) using a nonlinear PID controller. By combining a linear PID controller with a neural network, which has strong learning, adaptation, and nonlinear problem-solving capabilities, a novel adaptive PID controller is developed. Supervised learning of the neural network is used to minimize a cost function. The proposed controller is suitable for cable-driven parallel robots with nonlinearities and uncertainties. Detailed specifications of the control structure, design process, and experimental results are presented. The experimental results show that the proposed control method achieves higher performance for CDPR in joint space.