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作 者:张荣芸[1] 郑常胜 朱茂飞 龚长富 时培成[3] 刘亚铭 ZHANG Rongyun;ZHENG Changsheng;ZHU Maofei;GONG Changfu;SHI Peicheng;LIU Yamin(School of Mechanical and Automotive Engineering, Anhui Polytechnic University, Wuhu Anhui 241000, China;Japhl Powertrain Systems Co. , Ltd. , Wuhu Anhui 241000, China;The Key Laboratory of Advanced Perception and Intelligent Control of High-end Equipment, Ministry of Education, Anhui Polytechnic University, Wuhu Anhui 241000, China;School of Advanced Manufacturing Engineering, Hefei University, Hefei 230601, China)
机构地区:[1]安徽工程大学机械工程学院,安徽芜湖241000 [2]杰锋汽车动力系统股份有限公司,安徽芜湖241000 [3]安徽工程大学汽车新技术安徽省工程技术中心,安徽芜湖241000 [4]合肥学院先进制造工程学院,安徽合肥230601
出 处:《微电机》2022年第1期55-62,75,共9页Micromotors
基 金:国家自然科学基金(51605003,51575001);安徽省高校自然科学研究项目(KJ2020A0358)。
摘 要:针对PMSM转子位置和转速估计精度不足的问题,提出了一种基于五阶CKF算法的PMSM无传感器控制方法,并将其应用于EPS系统的助力控制中。首先,建立了基于PMSM的EPS系统离散数学模型;其次,介绍了基于五阶球面-容积方法,推导了五阶CKF算法,并基于五阶CKF算法实现了对PMSM转子位置和转速的精确估计;最后,将基于五阶CKF算法的PMSM无传感器控制应用于EPS系统之中,构建了基于五阶CKF算法的PMSM无传感器控制的EPS助力控制系统。通过Carsim/Simulink联合仿真,对提出的控制算法进行了验证,结果表明该算法能够改善EPS系统的助力控制效果。Aiming at the problem that the estimation accuracy of PMSM rotor position and speed was insufficient,a PMSM sensorless control method based on the fifth-order CKF algorithm was proposed and applied to the EPS assist control system.Firstly,the discrete mathematical model of EPS system based on PMSM was established;secondly,the fifth-order CKF algorithm was derived based on the fifth-order spherical-radial cubature rule,and the precise estimation of PMSM rotor position and speed was realized based on the fifth-order CKF algorithm;finally,the PMSM sensorless control based on the fifth-order CKF algorithm was applied to EPS system,and the PMSM sensorless control based on the fifth-order CKF algorithm was constructed.The proposed algorithm was verified by Carsim/Simulink joint simulation.The results show that the proposed algorithm can improve the assist control effect of EPS system.
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