CMAC网络与模糊PD并行控制仿真研究  

Simulation Research of CMAC and Fuzzy PD Combined Control

作　　者：时光[1,2] 吴朋[1,3] 王刚[3] 

机构地区：[1]重庆大学自动化学院,重庆400044 [2]辽宁工程技术大学电气与控制工程学院,葫芦岛125105 [3]重庆川仪自动化股份有限公司,重庆401121

出　　处：《系统仿真学报》2011年第9期1975-1979,共5页Journal of System Simulation

摘　　要：针对工业被控对象广泛存在的不确定性、非线性、时变性和多干扰等特性,提出了一种CMAC网络与模糊PD并行控制器的设计方法。该方法以模糊PD控制代替传统的PD控制实现反馈控制,并采用遗传算法整定模糊PD控制的量化因子,CMAC网络实现前馈控制。仿真结果表明,CMAC网络与模糊PD并行控制相对于PID控制与传统的CMAC网络与PD并行控制具有更强的鲁棒性与抗干扰能力。Aiming at the numerous controlled object in industry,which has the charactics of the uncertanty,nonlinear,time-variation and multi-disturbance,design of CMAC and fuzzy PD control combined controller was proposed.The algorithm used fuzzy PD control to realize the feedback control instead of the tradictional PD control and determine the quantizing factors of fuzzy PD control based on Genetic Algorithm（GA）,to realize feedforword control using CMAC.The simulation reasults show that CMAC and fuzzy PD combined control has better resistant ability to disturbence and robustness comparied to the PID control and the traditional CMAC and PD combined control.

关 键 词：非线性 时变性 CMAC网络 模糊PD 遗传算法 仿真 

分 类 号：TP273[自动化与计算机技术—检测技术与自动化装置]