基于改进粒子群算法的模糊PID在DEH中的应用  

Application of fuzzy PID control based on improved PSO algorithm in DEH

作　　者：朱正林[1] 张欢 崔晓波[1] ZHU Zheng-lin;ZHANG Huan;CUI Xiao-bo(Nanjing Institute of Technology,Nanjing 211167,China)

机构地区：[1]南京工程学院,南京211167

出　　处：《信息技术》2023年第2期35-40,共6页Information Technology

基　　金：江苏省产学研合作项目(BY2019013)。

摘　　要：针对PSO算法易陷入局部极值,探索参数法,推导出一种改进的PSO算法。该算法采用惯性权重呈幂指数衰减的策略,扩大前期全局搜索范围,提升后期局部寻优准度。经测试比较,证明了可行性。同时,为解决汽轮机数字电液控制系统(DEH)中单一PID控制的局限性,将改进算法与模糊PID控制相结合,共同优化系统参数,使DEH在发生偏差变化时,实时调节系统的控制质量。最后,在Matlab软件下建立仿真模型,并与模糊PID、单一PID控制对比,结果证明了该策略在DEH控制方面的优势。An improved PSO is deduced by probing into the parametric method in allusion to the inadequacy of PSO algorithm that easy to drop into the local extreme values.This algorithm adopts the strategy of inertia weight decaying as power-exponential function,enhances the overall search capacity in the early phase and promotes the partial optimization precision in the later period.The validity is verified by test comparison.Meanwhile,for the sake of settling the deficiencies of PID in DEH,the modified algorithm is united with fuzzy PID control to optimize the parameter of the system.In this manner,once DEH causes a deviation,the control quality is adjusted in real-time tuning coefficients.Ultimately,the simulation model is structured by MATLAB,contrasting with fuzzy PID and PID control.The consequences verify the preponderance of this tactics in DEH control.

关 键 词：数字电液控制系统 粒子群算法 幂指数衰减 模糊PID控制 参数优化 

分 类 号：TM621[电气工程—电力系统及自动化]