Double Update Intelligent Strategy for Permanent Magnet Synchronous Motor Parameter Identification

作     者：Shuai Zhou Dazhi Wang Mingtian Du Ye Li Shuo Cao 

作者机构：School of Information Science and EngineeringNortheastern UniversityShenyang110819China Department of Mechanical EngineeringThe University of MelbourneVictoria3010Australia College of Information EngineeringShenyang Polytechnic CollegeShenyang110045China 

出 版 物：《Computers, Materials & Continua》 (计算机、材料和连续体（英文）)

年 卷 期：2023年第74卷第2期

页      面：3391-3404页

核心收录：

学科分类：0831[工学-生物医学工程（可授工学、理学、医学学位）] 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）] 08[工学] 0805[工学-材料科学与工程（可授工学、理学学位）] 0701[理学-数学] 0812[工学-计算机科学与技术（可授工学、理学学位）] 0801[工学-力学（可授工学、理学学位）] 

基　　金：the Natural Science Foundation of China under Grant 52077027 the Liaoning Province Science and Technology Major Project No.2020JH1/10100020 

主　　题：PMSM parameter identification WDE PSO WDEPSO 

摘      要：The parameters of permanent magnet synchronous motor(PMSM)affect the performance of vector control servo *** of the complexity of nonlinear model of PMSM,it is very difficult to identify the parameters of *** at the problems of large amount of data calculation,low identification accuracy and poor robustness in the process of multi parameter identification of permanent magnet synchronous motor,this paper proposes a weighted differential evolutionary particle swarm optimization algorithm based on double update *** introducing adaptive judgment factor to control the proportion of weighted difference evolution(WDE)algorithm and particle swarm optimization(PSO)algorithm in each iteration process,and consider using PSO algorithm or WDE algorithm to update individuals according to the probability *** individuals obtained from WDE operation are used to guide the individual evolution process in PSO operation through the information *** proposed WDEPSO algorithm can ensure the diversity and effectiveness of the individual evolution of the *** algorithm is applied to parameter identification of PMSMdrive *** simulation results show that the proposed algorithm has better convergence performance and has strong robustness,parameter identification of permanent magnet synchronous motor based on proposed method does not need to rely on more data sheet on the motor design value,can motor stator resistance identification at the same time,the rotor flux linkage,d/q-axis inductance and electrical parameters,and can effectively track the parameters value.