SYNTHESIS OF ADAPTIVE SLIDING MODE CONTROL SYSTEMS FOR CONTINUOUS MIXING TECHNOLOGIES

Abstract

This paper presents a controller synthesis method for continuous mixing technology commonly encountered in industry. The kinematic model of the control object is described in the form of a system of nonlinear equations and is affected by unknown external disturbance. The control law for the system is built based on adaptive control theory, RBF neural network, and sliding mode control method. The obtained results are the identification law of nonlinear functions, the disturbance update adaptive rule, and the sliding mode controller. As a result, the control system of continuous mixing technology has high control quality, good adaptability, and anti-interference ability. Research results are simulated using Matlab Simulink software to demonstrate the correctness and effectiveness of the proposed method.