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The conventional direct torque control (DTC) has high torque and stator flux fluctuation that causes the stator current distortion. This paper presents an efficient control method based on the feedback-linearization direct torque control (FL-DTC) method for an interior permanent magnet synchronous motor (IPMSM) drive by using an improved firefly algorithm. The proposed approach can greatly restrain the poor performance of torque and stator flux. Thus, it is suitable for IPMSM drives in electric vehicles. First, a decoupled linear model is derived to implement the proposed efficient feedback linearization control for the IPMSM. Two phase voltages in d-q axes and two additional control inputs take shape into an isomorphism mapping with the concept of orthogonal transformation. The torque generation is related to the additional control. Second, the Hamiltonian efficient control theory combined with an improved firefly algorithm is applied to obtain an analytical solution. An efficient linearization controller is designed with a cost function considering the maximum voltage of the inverter. Finally, simulation and experiment are carried out to compare the performance of the proposed efficient FL-DTC with the improved firefly algorithm and the conventional direct torque control. The results show that the proposed control method can reduce the torque and flux ripples at a steady state and maintains a good dynamic response with the variations of speed and torque. • To restrain the poor performance of torque and stator flux, this paper presents an optimal control method based on feedback-linearization direct torque control (FL-DTC) method for an interior permanent magnet synchronous motor (IPMSM) drive by using an advanced firefly algorithm. • A decoupled linear model is derived to implement the proposed optimal feedback linearization control for the IPMSM. Two phase voltages in d-q axes and two additional control inputs take shape into an isomorphism mapping with the concept of orthogonal transformation. • The Hamiltonian of optimal control theory based on an advanced firefly algorithm is applied to obtain an analytical solution. • An optimal linearization controller is designed with a cost function considering the maximum voltage of the inverter. • The proposed control method has faster torque response and smaller torque and stator flux fluctuation. [ABSTRACT FROM AUTHOR]

Switched reluctance motors are a potential competitor to permanent magnet motors and induction motors for various industrial applications. The switched reluctance motors without permanent magnets have gained increased interest due to their simple structure, low cost, robustness, and high fault tolerance. However, the nonlinear characteristics caused by the double salient structure limit its wide applications. Advanced control techniques have been developed to suppress torque ripple, enhance anti-disturbance ability, reduce the switching frequency, expand speed range, and improve efficiency. The control strategies such as direct torque control and control algorithms like sliding mode control are two main approaches considered. Previous work only focuses on one side of control techniques. Thus, based on various control techniques proposed in recent years, this review classifies and summarizes their benefits and shortcomings. In addition, some essential trends in control development are presented and highlighted as future perspectives. [Display omitted] • The fundamentals including the SRM model and power converter are investigated and summarized. • Advanced control strategies of SRM are comprehensively illustrated and discussed. • The control algorithms including state-of-the-art control approaches with multiple control techniques are classified and analyzed. • Future perspectives of this emerging area have been pointed out. [ABSTRACT FROM AUTHOR]