title: Quantitative speed control for SRM drive using fuzzy adapted inverse model
abstract: 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
keyphrases: quantitative speed control SRM drive fuzzy adapted inverse model switched reluctance motor nonlinear dynamic behavior speed dynamic response regulation control requirements reference model command feedforward controller inverse plant model tracking response system parameters operating conditions control specifications fuzzy control scheme model-following tracking error two-degree-of-freedom structure disturbance cancellation controller