Volume 22, Issue 3 (JIAEEE Vol.22 No.3 2025)
Journal of Iranian Association of Electrical and Electronics Engineers 2025, 22(3): 0-0 |
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Dehestani Kolagar A, Salmanfar M, Alizadeh Pahlavani M R, Koohmaskan Y. Position Control of a BLDC Permanent Magnet Synchronous Motor by Model Predictive Control Using Laguerre Functions and Particle Swarm Optimization Algorithm. Journal of Iranian Association of Electrical and Electronics Engineers 2025; 22 (3)
URL: http://jiaeee.com/article-1-1655-en.html
URL: http://jiaeee.com/article-1-1655-en.html
Arash Dehestani Kolagar * 
, Mojtaba Salmanfar , Mohammad Reza Alizadeh Pahlavani , Yousef Koohmaskan
, Mojtaba Salmanfar , Mohammad Reza Alizadeh Pahlavani , Yousef Koohmaskan
Malek-Ashtar University of Technology
Abstract: (19 Views)
One of the factors that has an important effect on improving the efficiency of permanent magnet synchronous motors is the optimal design of the controller. One of the controllers that can be used to achieve optimal dynamics is the predictive controller. One of the most important challenges in the implementation of the predictive controller that limits its application is the high computational burden of this control method and the adjustment of the controller parameters. That is, in plants where the sampling time is small and the system dynamics are complex, correspondingly, the computational burden increases exponentially and the setting of the controller parameters becomes more complicated. This will reduce the speed of real-time implementation of this method on the one hand, and on the other hand, the adoption of a shorter prediction horizon. In this article, the main contribution is that in order to achieve a longer prediction horizon, the high computational volume is approximated by a number of discrete orthogonal basis functions, such as the Laguerre polynomials, and the control parameters are optimally adjusted by the particle swarm algorithm. The main advantage of this approach is to optimize the coefficients with a smaller number of orthogonal functions instead of optimizing the control path itself, which makes it possible to choose a longer prediction horizon.
Keywords: Permanent Magnet Synchronous Motor, Predictive Control, Laguerre Functions, Particle Swarm Optimization Algorithm
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