Experimental Validation of the Generation of Direct and Quadratic Reference Currents by Combining the Ant Colony Optimization Algorithm and Sliding Mode Control in PMSM using the Process PIL
(1) * Adil Najem Mail (Hassan 2nd University, Morocco)
(2) Ahmed Moutabir Mail (Hassan 2nd University, Morocco)
(3) Abderrahmane Ouchatti Mail (Hassan 2nd University, Morocco)
(4) Mohammed El Haissouf Mail (University Hassan 1st Settat, Morocco)
*corresponding author

Abstract


This article aims to enhance the control efficiency of the Permanent Magnet Synchronous Motor (PMSM) by generating optimal reference currents  and using Ant Colony Optimization (ACO), while ensuring a minimal absorbed current condition to reduce energy consumption and optimize PMSM performance. The ACO algorithm is chosen for its ability to find global solutions and robustness in complex environments, while Sliding Mode Control (SMC) provides advantages in terms of robustness against disturbances and the ability to maintain the system in a desired state. The implementation of the processor-in-the-loop (PIL) technique using MATLAB software with code composer and the LAUNCHXL- F28069M board enables the controller to be implemented in real hardware (LAUNCHXL-F28069M) to test the simulation environment (inverter and PMSM). Our results demonstrate the efficiency of ACO compared to the analytical method (AM) in terms of response time and minimizing absorbed current for different load values. Artificial intelligence (AI) has successfully and efficiently addressed the non-linearity between torque and reference currents, thus reducing energy consumption. This has allowed for the optimization of PMSM performance in a straightforward and efficient manner.

Keywords


Sliding Mode Control; PMSM; Ant Colony Optimization

   

DOI

https://doi.org/10.31763/ijrcs.v4i1.1286 		      

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International Journal of Robotics and Control Systems
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