整数阶与分数阶PID控制器的设计与整定比较研究

Ravi Kumarjatoth, Ven D Kishore
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引用次数: 8

摘要

粒子群优化(PSO)技术为多维目标函数提供最优或次最优解。本文利用SIMULINK实时实现了基于粒子群算法的整数阶和分数阶比例积分导数(PID)控制器整定的比较研究。分数阶和整数阶PID控制器参数的整定是根据系统对超峰、上升时间、稳定时间和稳态误差的要求进行的。对特征方程进行最小化,得到最优控制器参数集。结果表明,基于粒子群算法的分数阶控制器的整定比基于粒子群算法和传统方法的整定更有效。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
A comparative study on design and tuning of integer and fractional order PID controller
Particle Swarm Optimization (PSO) technique offers optimal or sub-optimal solution to multi-dimensional objective functions. This paper provides the comparative study of PSO based tuning of integer and fractional order Proportional-Integral-Derivative (PID) controllers using SIMULINK which is a real time implementation. The tuning of parameters of fractional order and integer order PID controller is based on required specifications of peak-overshoot, rise time, settling time and steady-state error. The characteristic equation is minimized to obtain an optimal set of controller parameters. Results show that PSO based tuning of fractional order controller using SIMULINK is more effective when compared with tuning of integer order controller using PSO and conventional methods.
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