Improved Speed Control through Model Predictive Techniques for Permanent Magnet Synchronous Motor in Electric Vehicles

Main Article Content

Mulugeta Hintsa
Prof. Dr. Suangnam Kim

Abstract

Currently, electric vehicles (EVs) are a popular and rapidly growing solution to reduce emissions from our transportation sector. This work presents an approach to develop a cascade control scheme of a permanent magnet synchronous motor (PMSM) for the application of EV. According to the specification of the Hyundai ATOS vehicle which is analyzed the different forces imposed to the vehicle, the power requirement to overcome these forces and the torque requirement to propel the vehicle. Then, due to the power and torque requirements the appropriate motor is selected. The model predictive control (MPC) is designed for the outer loop speed control and proportional integral (PI) controller for the inner loop current control based on the developed dynamic model of the PMSM drive system by considering input output constraints. The outer loop is responsible for regulating the speed of the motor while the inner loop focuses on maintaining the current. To ensure the effectiveness of the proposed method, it is compared with linear quadratic regulator (LQR) and genetic algorithm based proportional integral (GA-PI) control approaches. And GA technique is used to tune the parameters of the PI gain and the weighting matrix of the cost function. As the simulation result, the proposed MPC obtained better performance and effective than LQR and GA based PI.

Article Details

How to Cite
[1]
Kebedew, M.H. and Kim, S.trans. 2024. Improved Speed Control through Model Predictive Techniques for Permanent Magnet Synchronous Motor in Electric Vehicles. Daagu International Journal of Basic and Applied research (DIJBAR). 6, 1 (Jun. 2024), 435–450. DOI:https://doi.org/10.20372/dijbar67892.v6i1.2024.
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Articles
Author Biography

Prof. Dr. Suangnam Kim, Adama science and Technology University

Professor at Department of Electrical Power and Control Engineering

School of Electrical Engineering and Computing 

Adama science and Technology University

How to Cite

[1]
Kebedew, M.H. and Kim, S.trans. 2024. Improved Speed Control through Model Predictive Techniques for Permanent Magnet Synchronous Motor in Electric Vehicles. Daagu International Journal of Basic and Applied research (DIJBAR). 6, 1 (Jun. 2024), 435–450. DOI:https://doi.org/10.20372/dijbar67892.v6i1.2024.

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