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PSO的PID控制器

于 2020-12-14 发布

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下载积分: 1 下载次数: 15

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代码说明：

说明：针对一般的粒子群优化(PSO)学习算法中存在的容易陷入局部最优和搜索精度不高的缺点,对改进型PSO算法进行研究。由于惯性权重系数ω对算法是否会陷入局部最优起到关键的作用,因此,通过改变惯性权重ω的选择,对惯性权重系数采取线性减小的方法,引入改进型的PSO算法。采用改进的PSO算法对PID控制器进行参数优化并把得到的最优参数应用于控制系统中进行仿真。仿真实验结果表明:改进型PSO算法不会陷入局部最优,能得到全局最优的PID控制器的参数,并使得控制系统的性能指标达到最优,控制系统具有较好的鲁棒性。(Aiming at the shortcomings of general PSO learning algorithm, which is easy to fall into local optimum and low search precision, the improved PSO algorithm is studied)

文件列表：

PID_Model.mdl, 29558 , 2010-08-22
__MACOSX, 0 , 2020-03-07
__MACOSX\._PID_Model.mdl, 218 , 2010-08-22
GA_run.m, 477 , 2010-08-23
__MACOSX\._GA_run.m, 218 , 2010-08-23
PSO.m, 2589 , 2010-08-23
__MACOSX\._PSO.m, 218 , 2010-08-23
PSO_PID.m, 174 , 2010-08-22
__MACOSX\._PSO_PID.m, 218 , 2010-08-22

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