Supervisory Control of PMSM System Using Online GA Tuning Neural Networks

作     者：Wang Jiang, Che Yanqiu, Zhang Xiaodong(School of Electrical and A utomation Eng., Tianjin University, Tianjin 300072) 

会议名称：《第二十四届中国控制会议》

会议日期：2005年

学科分类：0711[理学-系统科学] 07[理学] 08[工学] 081101[工学-控制理论与控制工程] 0811[工学-控制科学与工程] 071102[理学-系统分析与集成] 081103[工学-系统工程] 

关 键 词：neural networks genetic algorithms supervisory control PMSM 

摘      要：正 In this paper, we present a controller for the supervisory backstepping control of a class of general nonlinear systems using online GA tuning neural networks （GNSB controller）. The weights of the neural networks （NNs） approximator employed in the backstepping controller can successfully be tuned via an online genetic algorithm （GA） approach. A simplified form of GA （SGA） approach is proposed to accelerate the search speed, and a new fitness function is established by the Lyapunov design method for the requirement of tuning the weights of the NNs online. A supervisory controller is used to guarantee the stability of the dose-loop nonlinear system. Example of PMSM system controlled by the presented controller is shown to illustrate the effectiveness of the proposed method.