SOLVING LIMITATIONS OF THE FASTEST RESPONSE ALGORITHM AUTOMATIC CONTROLSYSTEMS FOR THERMAL OBJECTS

Abstract

  The article studies and develops an Automatic Control System (ACS) for an electric heater using a hybrid automatic control system, integrating an Auto-Tuning (AT) module and a PID controller. The study evaluates the effectiveness of the proposed system, as well as compares the performance of current processes with the operational quality of the ACS system using a traditional PID controller. It also identifies scenarios where this system should be applied, how to eliminate self-oscillation phenomena, and assesses the feasibility of maintaining or switching off the inverse effect on the system quality of the FRA controller. Recommendations are provided for selecting the forecasting coefficient k_pr and determining its dependence on the properties of the controlled object. The results address the limitations of the FRA algorithm and propose parameter sets for the forecasting block to improve the practical application of this algorithm.