document: Quantitative speed control for SRM drive using fuzzy adapted inverse model Quantitative and robust speed control for a switched reluctance motor -LRB- SRM -RRB- 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 -LRB- 2DOF -RRB- 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
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