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由于传统微型电动汽车电机进行矢量控制中存在速度传感器价格昂贵,且测量精度易受环境影响等问题,基于模型参考自适应(MRAS)的无速度传感器电机控制系统成为研究热点。针对传统MRAS的不足提出了一种基于转子磁链和转矩误差的改进型MRAS。搭建速度观测器仿真模型并开展转速获取算法研究,仿真结果表明,改进型MRAS能够有效提高电机低速和零速状态下的转速估算精度,在加速、匀速、减速等方式下调速性能良好,对参数变化、测量误差、和噪声有良好鲁棒性,是实现电动汽车驱动控制系统高效化、集成化的可靠解决方案。
Because the speed sensor is expensive and the measurement accuracy is easily affected by the environment, the motor control system based on model reference adaptive (MRAS) has become a research hotspot due to the traditional micro-electric motor vector control. Aiming at the deficiency of traditional MRAS, an improved MRAS based on rotor flux linkage and torque error is proposed. The simulation model of the speed observer is set up and the rotational speed acquisition algorithm is developed. The simulation results show that the improved MRAS can effectively improve the speed estimation accuracy under low speed and zero speed condition, and has good speed regulation performance under acceleration, constant speed and deceleration. Parameter variation, measurement error, and noise are robust, making it a highly efficient, integrated, and reliable solution for EV drive control systems.