A New Robust Direct Torque Control Based on a Genetic Algorithm for a Doubly-Fed Induction Motor: Experimental Validation

The parametric variation of nonlinear systems remains a significant drawback of automatic system controllers. The Proportional–Integral(PI) and Proportional–Integral–Derivative (PID) are the most commonly used controllers in industrial control systems. However, with the evolution of these systems, s...

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Bibliographic Details
Published inEnergies (Basel) Vol. 15; no. 15; p. 5384
Main Authors Mahfoud, Said, Derouich, Aziz, El Ouanjli, Najib, Mossa, Mahmoud A., Bhaskar, Mahajan Sagar, Lan, Ngo Kim, Quynh, Nguyen Vu
Format Journal Article
LanguageEnglish
Published Basel MDPI AG 01.08.2022
Subjects
Algorithms
Artificial intelligence
control desk
Control systems
Controllers
Doubly-Fed Induction Motor (DFIM)
dSPACE DS1104
Electromagnetic induction
Genetic algorithms
Genetic Algorithm–Direct Torque Control (GA–DTC)
Hybrid control
Induction motors
Industrial electronics
Optimization
Power supply
Regulation
Ripples
Robust control
Simulation
Theoretical analysis
Torque
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Summary:The parametric variation of nonlinear systems remains a significant drawback of automatic system controllers. The Proportional–Integral(PI) and Proportional–Integral–Derivative (PID) are the most commonly used controllers in industrial control systems. However, with the evolution of these systems, such controllers have become insufficient to compete with the complexity of the systems. This problem can be solved with the help of artificial intelligence, and especially with the use of optimization algorithms, which allow for variable gains in PID controllers that adapt to parametric variation. This article presents an analytical and experimental study of the Direct Torque Control (DTC) of a Doubly-Fed Induction Motor (DFIM). The speed adaptation of the DFIM is achieved using a PID controller, which is characterized by overshoots in the speed and ripples in the electromagnetic torque. The Genetic Algorithm (GA) within the DTC shows very good robustness in speed and torque by reducing torque ripples and suppressing overshoots. The simulation of the GA-DTC hybrid control in MATLAB/Simulink confirms the improvement offered by this strategy. The validation and implementation of this strategy on the dSPACE DS1104 board are in good agreement with the simulation results and theoretical analysis.
ISSN:1996-1073
1996-1073
DOI:10.3390/en15155384