摘要
针对永磁同步电机传统矢量控制易出现超调、抗负载能力差,以及传统直接转矩控制低速转矩脉动明显等问题,选取模糊理论和Super-twisting滑模算法分别优化两种控制策略,并建立Matlab/Simulink仿真模型,分析各策略的控制性能。仿真结果表明:基于模糊PI的矢量控制在中高速条件下能有效改善系统的超调问题,提高抗负载能力,但低速控制性能无明显改善,更加适合减速驱动式轮毂电机控制系统;基于Super-twisting滑模算法的直接转矩控制在全速范围内均能保持良好的控制性能,系统响应时间缩短了61.1%,低速转矩脉动降低了77.3%,更加适合直驱式轮毂电机控制系统。
The Field-Oriented Control( FOC) using traditional PI for Permanent Magnet Synchronous Motor( PMSM) has the disadvantages of overshoot and poor load resistance. The Direct Torque Control( DTC) using bang-bang controller has obvious torque ripple at low-speed. To solve these problems,this paper utilizes fuzzy theory and Super-twisting sliding mode control algorithm to optimize the two controlling strategies respectively,and establishes simulation model in Matlab/Simulink to analyze the controlling performance of each strategy. Simulation results show that the FOC strategy using fuzzy PI can effectively decrease the overshoot of the system thereby improving load resistance ability at medium and high speed. However,it cannot improve the low-speed controlling performance significantly. So,it is more suitable for deceleration drive hub motor control system. The DTC using Super-twisting sliding mode algorithm has good controlling performance in full speed range. The system response time is reduced by 61. 1%. The torque ripple is reduced by 77. 3% at low speed. Thus,it is suitable for direct drive hub motor controlling system.
基金
国家自然科学基金资助项目(51775393)
新能源汽车科学与关键技术学科创新引智基地资助项目(B17034)
新能源智能汽车平台建设项目(2016BEC116)
