Research And Application On The PID Parameters Tuning Technology

PID controller is the most widely control method in the field of industrial process control, and it has the advantage of simple structure, strong robustness, high reliability, easy operation and so on. However, Industrial production processes are often very complicated, and it is difficult to establish accurate mathematical model of the system, therefore the traditional PID controller cannot meet the precise control requirements. This paper firstly discusses the traditional PID controller methods and other usual-used intelligence control algorithm, and then studies the PID parameters tuning, auto-tuning and optimizing with different algorithms. The applications, advantages and disadvantages of PID controllers are described, and the result is validated by MATLAB simulation.This paper in-depth studies one kind of PID controller with parameter tuning which is based on least squares support vector machine, and uses least squares to obtain the optimal parameters of the PID controller. The superiority of this method is verified through the simulation experiments by MATLAB.The main contents and achievements of this dissertation are as follows: The traditional PID controllers and their classical algorithms are studied, and the principles and characteristics of the PID controllers that the topic interested also are explained in detail, which in preparation for the later studies and researches in the theoretical groundwork.Use MATLAB as a data processing tools, through the simulink software analysis and simulates several kinds of PID control systems; the optimization and auto-tuning process for the three parameters of PID controller are verified by MATLAB.A novel algorithm for PID parameter tuning and auto-tuning based on Least-squares Support Vector Machines is put forward. The system's mathematical model is identified with support vector machines for non-linear system, and the optimal parameters of PID controller are obtained using least squares method. The experimental results show that the method for the system to track the reference input and to reduce the interference caused by unknown changes in system is effective. It is practical and feasible in industrial control. This paper provides a new way of thinking for the study of PID parameter tuning and auto-tuning.Using the new method mentioned in this paper, the PID controller with parameters tuning is applied in glass fiber mesh production line. The parameters of the PID controller are modified in real-time to achieve optimal control effect. Compared with the conventional PID controller, the simulation result demonstrates that this method which is based on support vector machine algorithm is superior to the conventional methods.