基于改进型MRAS微型电动汽车转速算法研究

Speed Algorithm Research of Micro-electric Vehicles Based on Improved MRAS

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 of the high cost of the speed sensor and the measurement precision is easy to be influenced by the environment in the power system of the traditional micro-electric vehicles. The control system based on model reference adaptive （MRAS） has become a hot research topic. Aiming at solving the shortcomings of traditional MRAS, this paper presents an improved MRAS based on the rotor flux linkage and the torque error, builds the simulation model of the speed observer and carries out the speed acquisition algorithm research. Simulation results show the speed estimation of the motor can be improved by using the improved MRAS speed sensorless control method, the satisfactory performance of speed regulation with the proposed speed sensorless control under different driving profiles, such as accelerating, constant speed and decelerating mode etc. And good robustness with respect to parameter variations, measurement errors, and noise is obtained. It is an effective and reliable solution for the speed estimation in sensorless traction drive and makes the electric vehicle drive control systems more efficient, and more integrated.