Autotuning algorithm of particle swarm PID parameter based on D-Tent chaotic model

作     者：Min Zhu Chunling Yang Weiliang Li 

作者机构：School of Electrical Engineering and AutomationHarbin Institute of Technology China FAW Group Corporation R&D Center 

出 版 物：《Journal of Systems Engineering and Electronics》 (系统工程与电子技术（英文版）)

年 卷 期：2013年第24卷第5期

页      面：828-837页

核心收录：

学科分类：0711[理学-系统科学] 080801[工学-电机与电器] 0808[工学-电气工程] 0809[工学-电子科学与技术（可授工学、理学学位）] 07[理学] 08[工学] 0802[工学-机械工程] 081101[工学-控制理论与控制工程] 0811[工学-控制科学与工程] 0812[工学-计算机科学与技术（可授工学、理学学位）] 071102[理学-系统分析与集成] 081103[工学-系统工程] 

基　　金：supported by the National Natural Science Foundation of China(61301011) the Fundamental Research Funds for the Central Universities(HIT.NSRIF.2012010) the China Postdoctoral Science Foundation(2013M540279) the Heilongjiang Postdoctoral Financial Assistance(LBH-Z11157) 

主　　题：D-Tent particle swarm proportional-integral- derivative (PID) parameter optimization. 

摘      要：An improved particle swarm algorithm based on the D-Tent chaotic model is put forward aiming at the standard particle swarm algorithm. The convergence rate of the late of proposed algorithm is improved by revising the inertia weight of global optimal particles and the introduction of D-Tent chaotic sequence. Through the test of typical function and the autotuning test of proportionalintegral-derivative （PID） parameter, finally a simulation is made to the servo control system of a permanent magnet synchronous motor （PMSM） under double-loop control of rotating speed and current by utilizing the chaotic particle swarm algorithm. Studies show that the proposed algorithm can reduce the iterative times and improve the convergence rate under the condition that the global optimal solution can be got.