感应电动机磁链观测与参数在线辨识方法研究  

A Study of Flux Linkage Observation and Online Parameter Identificationfor Induction Motor

作　　者：周江华[1] 万山明[1] 华志超 ZHOU Jianghua;WAN Shanming;HUA Zhichao(State Key Laboratory of Advanced Electromagnetic Engineering and Technology,Huazhong University of Science and Technology,Wuhan 430074,China)

机构地区：[1]华中科技大学强电磁工程与新技术国家重点实验室,湖北武汉430074

出　　处：《电机与控制应用》2018年第11期72-77,共6页Electric machines & control application

摘　　要：针对感应电动机在矢量控制过程中存在的转子磁链定向不准确的问题,解释了磁链观测误差的原因,重点研究了电机参数的在线辨识方法。提出了基于模型参考自适应系统的感应电动机磁链观测与参数在线辨识方法。基于波波夫超稳定性定理,设计了转子时间常数与励磁互感的双参数自适应律。该方法以电压模型磁链观测器作为参考模型,在线辨识出电流模型磁链观测器所需的参数,使磁链观测结果具有收敛性和鲁棒性,从而避免了电机参数测量不准确与容易变化对磁链定向造成的不良影响。仿真结果表明该方法具有实时性与可行性。Aiming at the problem of rotor flux orientation inaccuracy in induction motor’s vector control process,the reason of flux linkage observation error was analyzed,and the online identification method of motor parameters was emphatically studied.A method based on model reference adaptive system for flux observation and parameter identification was proposed.The two-parameter adaptive law of rotor time constant and excitation mutual inductance was designed based on Popov hyperstability theorem.This method took the voltage model as the reference model,and identified the parameters required by the current model on line.It made the flux observation result convergent and robust,avoiding bad effects of the motor parameter measurement inaccuracy and the easy change.The simulation results proved that the method was accurate and real-time.

关 键 词：感应电机 参数在线辨识 模型参考自适应系统 磁链观测器 矢量控制 

分 类 号：TM346[电气工程—电机]