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A support vector machine(SVM)approximate-based internal model control(IMC)strategy is presented for the steam valving control of synchronous generators.The proposed SVM IMC strategy includes two main parts:SVM approximate inverse controller and uncertainty compensation in the internal model structure.The SVM inverse controller is derived directly using an input-output approximation approach via Taylor expansion,and it is implemented through nonlinear system identification without further online training.Furthermore,a robustness filter is used for uncertainty compensation in the internal model structure. Simulations show the effectiveness of the SVM IMC strategy for the steam valving control.
A support vector machine (SVM) approximate-based internal model control (IMC) strategy is presented for the steam valving control of synchronous generators. The proposed SVM IMC strategy includes two main parts: SVM approximate inverse controller and uncertainty compensation in the internal model structure The SVM inverse controller is derived directly using an input-output approximation approach via Taylor expansion, and it is implemented through nonlinear system identification without further online training. Futuremore, a robustness filter is used for uncertainty compensation in the internal model structure. Simulations show the effectiveness of the SVM IMC strategy for the steam valving control.