Hybrid Meta-Heuristic Optimization Algorithms with Integral Sliding Mode Control: Applied to Control Permanent Magnet Synchronous Generator-Based Wind Energy System

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dc.contributor.authorArabi, Marwa
dc.contributor.authorZennir, Youcef
dc.contributor.authorBounezour, Hicham
dc.contributor.authorBenghanem, Mohamed
dc.date.accessioned2026-07-23T11:50:00Z
dc.date.available2026-07-23T11:50:00Z
dc.date.issued2026-05-15
dc.description.abstractThis study presents a comparative analysis of the performance of standard metaheuristic algorithms and their hybrid variants for tuning the parameters of an Integral Sliding Mode Controller (ISMC) applied to a Permanent Magnet Synchronous Generator (PMSG) in wind energy conversion systems. Specifically, the Particle Swarm Optimization (PSO) and Grey Wolf Optimizer (GWO) are investigated, along with two hybrid strategies: PSO combined with the MATLAB-based nonlinear constrained solver fmincon, and a PSO–GWO hybrid approach. These optimization techniques are employed to improve the dynamic performance and robustness of the ISMC under varying wind conditions. The optimized controllers are benchmarked against the conventional Integral Sliding Mode–Field-Oriented Control (ISM–FOC) scheme. All simulations are conducted in the MATLAB/Simulink environment. Results show that the conventionally tuned ISMC exhibits a slower response and higher current-tracking errors, with the quadrature current error reaching approximately 0.2 and the direct current oscillating around 5 × 10⁻⁶ A, with a response time of 4.5 × 10⁻³ s. The results clearly demonstrate that the proposed optimization approaches significantly enhance control accuracy, reduce tracking errors, and mitigate chattering effects.
dc.identifier.urihttp://dspace.univ-skikda.dz:4000/handle/123456789/6156
dc.language.isoen
dc.publisherMathematical Modelling of Engineering Problems Vol. 13, No. 4, April, 2026, pp. 663-683
dc.titleHybrid Meta-Heuristic Optimization Algorithms with Integral Sliding Mode Control: Applied to Control Permanent Magnet Synchronous Generator-Based Wind Energy System
dc.typeArticle
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