Volume 14, Issue 4 (Journal of Control, V.14, N.4 Winter 2021)                   JoC 2021, 14(4): 143-154 | Back to browse issues page

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1- Iran University Science & Technology
Abstract:   (1938 Views)
The ever-increasing expansion of automation has led to increasing the use of electric motors that makes the main horse power of many instruments. The Switched Reluctance Motor (SRM), as a kind of synchronous motors, has many advantages and can be used instead of other motors to eliminate their problems. However, 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 the SRM (i.e., the torque ripple) is reduced. By converting the first-order sliding-mode control problem to an optimization problem, and solving it in real time using projection recurrent neural network, the proposed controller 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.
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Type of Article: Research paper | Subject: Special
Received: 2019/06/14 | Accepted: 2020/04/18 | ePublished ahead of print: 2020/07/15 | Published: 2021/01/29

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