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Robust disturbance observer-based k-GOA optimized fractional-order sliding mode controller for grid-connected solar-wind hybrid generating system
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DOI：10.1080/02286203.2026.2666538.png)
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Abstract
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This paper proposes a new Fractional Order Sliding Mode Controller (FOSMC) based on a Robust Disturbance Observer (RDO) and a hybrid k-means Grasshopper Optimization Algorithm (k-GOA) for a grid-connected solar-wind Hybrid Generating System (HGS). The RDO-based k-GOA-tuned FOSMC (k-GOA FOSMC) achieves Maximum Power Point Tracking (MPPT) and grid-side control by combining the robustness and reasonable control costs of Sliding Mode Controller (SMC) with the improved performance of a fractional controller using a fractional Proportional plus Derivative (PD) sliding surface. A fractional controller tuning approach based on hybrid k-means clustering and grasshopper optimization eliminates random initialization and enables faster convergence. The developed k-GOA FOSMC is more effective and robust in compensating uncertainties estimated by the RDO. Extensive MATLAB/Simulink simulations under various climatic conditions validate the approach. Computational complexity, system efficiency, and control costs are compared with PID, FOPID, k-GOA FOPID, and FOSMC, demonstrating the superiority of the proposed controller.
Keywords:
Solar-wind hybrid generating system
robust disturbance observer
fractional order PID control
fractional order sliding mode control
optimization
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