摘要
速度传感器的使用会降低电动汽车控制系统的可靠性,针对目前广泛采用的滑模观测器存在的抖振和非线性问题,提出一种龙伯格观测器的无速度传感器控制方法。观测器采用线性的控制结构代替滑模观测器的不连续控制,达到了消除抖振的目的,并将观测器与卡尔曼滤波和锁相环相结合,应用到无速度传感器调速系统中,改善了系统的稳定性和观测精度,提高了系统的动态性能,增强了系统的可靠性。最后对系统在多种运行工况下进行了仿真验证,结果表明改进方法能够有效地估算出电机的转子位置和转速信息,可以满足电动汽车稳定驱动的要求。
The speed-sensor can reduce the system reliability of electric vehicle, to solve the problems of buffe- ting and nonlinear of the sliding mode observer widely used in the presence, this paper proposed a control method based on speed sensorless Luenberger observer. To achieve the purpose of eliminating buffeting, the observer used linear control structure to instead of discontinuous control. Meanwhile, the observer was combined with Kalman filte- ring and Phase-locked loop, and applied to speed-sensorless speed regulation system. The stability and observe pre- cision of system was improved obviously, and the dynamic performance was also increased. Finally, the system was verified by simulation under different conditions. The simulation result indicates that this method can estimate angular position and rotor speed effectively, which can meet the requirements of electric vehicle drive.
出处
《计算机仿真》
北大核心
2017年第5期182-186,共5页
Computer Simulation
基金
国家自然科学基金(51274118(12-1221))
