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This paper describes the dynamic behavior of hydraulic turbine power control. The water inertia effect is a factor that makes difficult to maintain stability under isolated operation or to have fast response in case of load change in the whole operational range. A nonlinear hydraulic system model is investigated. Linear models for different load conditions using identification procedure are obtained...
In this paper a hybrid instrumental environment for hydro turbine power adaptive control implementation is presented. It consists of MATLAB-based nonlinear discrete plant model, programmable logical controller (PLC) and data acquisition hardware. The dynamic behavior of a hydro turbine is investigated in the case of whole range of power variation. The parameter-dependent model is developed. The gain...
The wind turbine is represented as an uncertain plant whose parameters depend on the wind speed. A two degree-of-freedom turbine speed controller is designed by using the technique of µ-synthesis. The frequency responses and time responses of the closed-loop system show a satisfactory performance of the linearized system. It is demonstrated that by relaxing the robustness requirements it is possible...
Model predictive control (MPC) has been considered as the most important development in the area of process control in the last two decades. This paper addresses the issue of controlling a nonlinear plant by the use of the nonlinear model predictive control formulation. To handle the nonlinearities, a Takagi-Sugeno neuro-fuzzy model is suggested as a means to model the plant with nonlinearities depending...
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