Abstract: PID control is a practical and reliable method in configuration software used in industrial control environments. This paper introduces the algorithm implementation of a PID controller in configuration software and completes a PID self-tuning algorithm based on Matlab, making parameter tuning simple and easy, and making the configuration software more flexible and versatile. The performance of the designed PID controller is evaluated using system response curves.
Keywords: configuration software; Matlab; PID; self-tuning
Abstract: In configuration software used in the control field in industry the PID controller is useful and reliable. This paper introduces the realization of PID controller in configuration software, and accomplish method of PID self-tuning based on Matlab, which simplifies the self-tuning method and makes the configuration software flexible and universal. And evaluate the performance of PID controller by the step response of the system.
Key words: configuration; Matlab; PID; Self-tuning
1 Overview
For commonly used distributed control systems (DCS) and general industrial measurement and control systems, it is often necessary to control motion systems. The proportional-integral-derivative (PID) controller is one of the earliest developed controllers. Due to its simple algorithm, good robustness, and high reliability, it is currently widely used in industrial process control in chemical, metallurgical, mechanical, thermal, and light industries, and is one of the most widely used control strategies. Therefore, PID control is often selected in configuration software. However, PID controller parameter tuning generally requires experienced field engineers, which is both time-consuming and labor-intensive. Furthermore, the wide variety of systems makes PID controller parameter tuning challenging, and the tuning results are often unsatisfactory. To make the configuration universal and applicable to various PID control models, parameter tuning becomes even more difficult. This paper uses Matlab language and Simulink simulation software—currently the most widely used and preferred computer tools in the international control community—to simulate and tune PID controller parameters, making parameter tuning simple and easy, and making the configuration software more flexible and universal.
For details, please click: Research on PID Controller Design and Parameter Self-Tuning Method Based on Configuration Software and Matlab
