Volume 1, Issue 1 (Journal of Control (English Edition), VOL. 01, NO. 01, 2022)                   jocee 2022, 1(1): 11-26 | Back to browse issues page

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Fadaie Abras M, Abbaszadeh K, Siadatan A. An Energy-based Predictive Control with a Fast Real-Time Current-Tuning for Mono-Inverter Dual-Parallel PMSM Motors in Power Train Application. jocee 2022; 1 (1) :11-26
URL: http://jocee.kntu.ac.ir/article-1-26-en.html
1- Department of Electrical Engineering, Faculty of Electrical Engineering, Science and Research Branch, Islamic Azad University, Tehran, Iran
2- Department of Electrical Engineering, Faculty of Electrical Engineering K. N. Toosi University of Technology, Tehran, Iran
3- Department of Electrical Engineering, College of Technical and Engineering West Tehran Branch, Islamic Azad University, Tehran, Iran
Abstract:   (279 Views)
Economic approach and optimization in rail transportation systems led to the introduction of the mono inverter dual parallel motor (MIDP) system. Most researchers introduce the model predictive control (MPC) method to drive this system in order to overcome the problem of load torque inequality on the wheels. But the obtained control signals do not result in the proper operation of the MIDP system, because the cost function is solved online or evaluated by the limited number of control signals. The present paper introduces an energy-based predictive speed control instead of the conventional proportional-integral controller in the outer loop and uses Pontryagin’s maximum principle to regulate electrical currents in the inner loop. Since this method solved the quadratic-linear cost functions offline, the control signals of the MIDP system are obtained as linear-parametric functions. After modeling and simplifying the mathematical equations, the introduced method is simulated and compared with conventional Finite and Infinite Control Set-MPC methods. The results indicate the agility and high accuracy of the controllers in both transient and steady states.
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Type of Article: Research paper | Subject: General
Received: 2021/08/20 | Accepted: 2022/01/20 | ePublished ahead of print: 2022/04/26 | Published: 2022/07/1

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