Design and validation of industrial equipment based on MPC-PID control

Abstract

The issues of low temperature control accuracy and poor stability in industrial water temperature control systems are addressed in this article. A PID-based temperature control system that combines Model Predictive Control (MPC) with PID control is proposed. A simulation system for water temperature control is designed using Simulink, and adaptive tuning of PID parameters is implemented. In the process of constructing the experimental platform, temperature changes are controlled by driving the hot and cold valves with a temperature control board. It is demonstrated that high temperature control accuracy, fast heating rate, and good stability are achieved by the proposed system, thus meeting the temperature control requirements of the system. The physical model and linearized model of an industrial boiler are introduced, and the discretization of the model and its improvements are discussed. Additionally, the working principles of the PID control algorithm and MPC module are outlined, and experimental results and analysis are presented.