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Auto-tuning PID controller for low cost fault tolerant motor drive of electric vehicle

机译:自整定PID控制器,用于电动汽车的低成本容错电机驱动

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This paper presents a fuzzy auto-tuning PID controller to improve the motor performance in a low-cost fault tolerant motor drive of electric vehicles. The fault tolerant control system considered for the motor drive is specifically designed for the inverter power semiconductor devices faults. The drive control strategy is based on the well-known V/F control method. Normally fault tolerant schemes allowing nonstop operation of the motor drive during the fault condition result in poor motor performance (e.g. two leg operation of the inverter). Because of the system complexity and low motor performance in fault conditions, a fuzzy tuner is proposed to readjust the PID control parameters. The proposed tuner leads to an overall acceptable system performance in both transients and steady-state conditions. To evaluate the controller tuner used in the fault condition of the motor drive, a fuzzy tuner is applied and programmed. Simulation results are obtained with both classic and fuzzy tuned controller. The results show that the motor performance parameters such as efficiency and power factor have been improved with the tuned PID controller compare to classic controller.
机译:本文提出了一种模糊自整定PID控制器,以改善电动汽车的低成本容错电动机驱动中的电动机性能。考虑用于电机驱动器的容错控制系统是专门为逆变器功率半导体器件故障而设计的。驱动控制策略基于众所周知的V / F控制方法。通常,容错方案允许在故障情况下使电动机驱动器不间断运行,这会导致电动机性能变差(例如,逆变器的两脚运行)。由于系统的复杂性和故障情况下电动机的性能低下,提出了一种模糊调谐器来重新调整PID控制参数。所提出的调谐器在瞬态和稳态条件下均能获得总体上可接受的系统性能。为了评估在电动机驱动器故障状态下使用的控制器调谐器,应用了模糊调谐器并对其进行了编程。使用经典和模糊调谐控制器均获得了仿真结果。结果表明,与传统的PID控制器相比,调谐PID控制器改善了电动机的性能参数,例如效率和功率因数。

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