观光电动汽车用异步电机矢量控制MRAS-GA交互在线辨识

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文章编号：1672-7010（2026）01-0041-09

Abstract： To addressthe control performance degradation caused by time-varying parameters in induction motor drive systems for sightseeing electric vehicles，an interactive online identification method based on a model reference adaptive system （MRAS）and a genetic algorithm（GA） is proposed.First，a mathematical model forrotor field-oriented vector control is established.An MRAS identification system is constructed， comprising an adaptive mechanism based on Popov’s hyperstability theory，an adjustable current model for the rotor flux，and a voltage reference model.Second，to mitigate the influence of stator resistance onthe reference model output，an interactive identification strategy for the rotor time constant and statorresistance is designed， with GA used to optimize the adaptive mechanism’s parameters.Experimental results from both the MATLAB/ Simulink simulation platform and a control system implemented ona TMS320F28335 DSP platform demonstrate thatthe proposed method efectively improves the identification accuracyof therotor time constant，reducing the error from 4.7% （conventional method）to 2.1% .This enables the motor system to achieve excellent dynamic and static performance，providing a novel solution for the drive control of sightseeing electric vehicles.

Key words： sightseeing vehicle；induction motor；vector control； model reference adaptive system; genetic algorithm；interactive online identification

电动汽车中的异步电机结构简单、价格低、鲁棒性强，已成为车载驱动系统核心部件之_[1]。（剩余7198字）