基于改进粒子群优化算法的分数阶PID控制器  

Fractional Order PID Controller Based on Improved Particle Swarm Optimization Algorithm

作　　者：李小松[1] 孙志敏 LI Xiaosong;SUN Zhimin(School of Electronic Information Engineering,Taiyuan University of Science and Technology,Taiyuan 030024,China)

机构地区：[1]太原科技大学电子信息工程学院,山西太原030024

出　　处：《数字通信世界》2024年第3期75-77,共3页Digital Communication World

摘　　要：针对控制系统控制性能不稳定的问题,实践中可在控制系统里设定一种分数阶PID控制器。相比于整数阶PID控制器,分数阶PID控制器增加了λ和μ两个控制参数,这样可以让控制器在控制过程中拥有更好的性能,但同时也使得参数整定使用更加困难。为了更容易地求出控制器的参数,需要使用改良过的粒子群(PSO)优化方法来进行整定,将时间误差绝对值(ITAE)准则应用到控制器的控制过程当中,可以快捷地得出分数阶PID控制器的优化参数。通过对常规PID控制器与分数阶PID控制器的仿真结果进行对比,经过优化后的粒子群算法得到的参数在运用到控制系统中时会得到的更好的效果,说明了优化后的分数阶PID控制器的控制效果要优于整数阶PID控制器的控制效果。In practice,a fractional order PID controller can be set in the control system to address the issue of unstable control performance.Compared to integer order PID controllers,fractional order PID controllers addλandμTwo control parameters can improve the performance of the controller during the control process,but it also makes parameter tuning more difficult to use.In order to more easily determine the parameters of the controller,an improved Particle Swarm Optimization(PSO)method needs to be used for tuning.Applying the Absolute Time Error(ITAE)criterion to the control process of the controller can quickly obtain the optimization parameters of the fractional order PID controller.By comparing the simulation results of conventional PID controllers and fractional order PID controllers,the optimized particle swarm optimization algorithm obtains better parameters when applied to the control system,indicating that the control effect of the optimized fractional order PID controller is better than that of the integer order PID controller.

关 键 词：分数阶PID 粒子群算法 参数整定 

分 类 号：TP273[自动化与计算机技术—检测技术与自动化装置]