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Quantitative speed control for SRM drive using fuzzy adapted inverse model

机译:基于模糊自适应逆模型的SRM驱动器定量速度控制

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摘要

Quantitative and robust speed control for a switched reluctance motor (SRM) drive is considered to be rather difficult and challenging owing to its highly nonlinear dynamic behavior. A speed control scheme having two-degree-of-freedom (2DOF) structure is developed here to improve the speed dynamic response of an SRM drive. In the proposed control scheme, the feedback controller is quantitatively designed to meet the desired regulation control requirements first. Then a reference model and a command feedforward controller based on an inverse plant model are employed to yield the desired tracking response at nominal case. As the variations of system parameters and operating conditions occur, the prescribed control specifications may not be satisfied any more. To improve this, the inverse model is adaptively tuned by a fuzzy control scheme so that the model-following tracking error is significantly reduced. In addition, a simple disturbance cancellation robust controller is added to improve the tracking and regulation control performances further.
机译:开关磁阻电机(SRM)驱动器的定量和鲁棒速度控制由于其高度非线性的动态特性而被认为是相当困难且具有挑战性的。这里开发了一种具有两自由度(2DOF)结构的速度控制方案,以改善SRM驱动器的速度动态响应。在提出的控制方案中,首先对反馈控制器进行定量设计,使其满足所需的调节控制要求。然后,采用参考模型和基于逆工厂模型的命令前馈控制器,以在名义情况下产生所需的跟踪响应。随着系统参数和操作条件的变化,可能不再满足规定的控制规格。为了改善这一点,通过模糊控制方案对逆模型进行自适应调整,从而大大降低了模型跟踪误差。另外,添加了一个简单的干扰消除鲁棒控制器,以进一步改善跟踪和调节控制性能。

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