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PIDNN Decoupling Control of Doubly Fed Hydro-Generator Syste...

PIDNN Decoupling Control of Doubly Fed Hydro-Generator System Based on PSO Method

作     者:GUO Aiwen~1,LI Jinping~2,YANG Jiebin~2 1.Department of Automation,College of Power & Mechanical Engineering,Wuhan University,Wuhan 430072,P.R.China 2.State Key Laboratory of Water Resources and Hydropower Engineering Science,Wuhan University,Wuhan 430072,P.R.China 

会议名称:《第三十届中国控制会议》

会议日期:2011年

学科分类:080801[工学-电机与电器] 0808[工学-电气工程] 08[工学] 

基  金:supported in part by National Nature Science Foundation of China under Grant 51039005 open foundation of hubei province key state laboratory of accoutrement technique in fluid machinery & power engineering 

关 键 词:Doubly Fed Hydro-Generator System Decoupling Control PID Neural Network PSO 

摘      要:The doubly fed hydro-generator system is a novel type of hydraulic generation *** the performances of uncertain and nonlinear as well as parameters coupling and time-variation for three parts of water flux, hydro-turbine and generator,the doubly fed hydro-generator system is highly nonlinear,time-varying,large time delay and multi-variable strong *** solve this problem,a multi-variable adaptive neural network decoupling controller with PID structure is introduced based on the principle of NN control and decoupling *** decoupling and control capability of PIDNN decoupling controller are from the NN cross-tie structure and the nonlinear mapping *** weighs of the NN are learned and optimized by the particle swarm optimization(PSO) algorithm,which is known for its searching ability in the total parameter space concurrently and *** NN weights will not only eliminate the coupling relations between circuits,but also strengthen the PIDNN controller’s *** comparison with the conventional PID control,the results of simulation show that hydro-generator system is good robustness against system parameters uncertainly and load disturbance.

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