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This paper proposes a control method that compensates for a system with time delay by predicting the future states of the plant. The proposed method contains a state predictor that predicts the future values of a system. Furthermore, the proposed method also considers the uncertainty of the model in terms of the modeling error, which might cause the predicted value to degrade the performance of the...
This paper deals with the problem of nonlinear model predictive control using a piecewise linear predictive model: the adaptive hinging hyperplanes (AHH). The AHH model is adaptive and efficient, thus depicts the relationship of the nonlinear system very well. Thanks to the piecewise linear property of the predictive model, a series of convex quadratic programming are constructed in the controller...
An efficient adaptive stability control for multi-generators power system is presented based on step-ahead model prediction methodology. This control is named the model prediction adaptive control (MPAC) that is built upon optimization of selected performance index defined as weighted combination of generator voltage deviation, mechanical-electrical torque mismatch, and speed incremental. Method of...
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