Speed Control and Torque Ripple Reduction of Switched Reluctance Motors based on Cascade Loops and Optimal Sliding-mode Controller

The increasing expansion of automation has led to increasing the use of electric motors. that makes the main power of many instruments. The Switched Reluctance Motor, as a kind of synchronous motors, has many advantages and can be used instead of other motors to eliminate their problems. speed control of this motor is very difficult due to nonlinearities, time variant, and uncertainties. In this article, the speed control of SRM is considered by using an optimal sliding mode controller. Using the cascade structure, the biggest defect in SRM, the torque ripple, is reduced. The proposed controller, by converting the first-order sliding mode control problem to the optimization problem, and with its real-time solution by projection recurrent neural network, produces an optimal control signal that does not have chattering, but satisfies the sliding condition. evaluation of The proposed controller with other controller is carried out by simulation and its effectiveness is shown.