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A Design of Wind Turbine Control System using Nonlinear Model Predictive
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Most of the control systems of wind turbine are generally designed based on a linear system model, such as PI/PID. However, the linear control systems do not sufficiently consider the nonlinearity of wind turbine. Therefore, it is necessary to design nonlinear control system of wind turbine. In this study, the method for designing wind turbine control system using nonlinear model predictive control(NMPC) is presented. NMPC computes the optimal control input through the optimization using the predicted states information of system in finite horizon open-loop. The direct multiple shooting method is used to predict the system state in open-loop. The simulation study has been carried out at high wind speed condition. The result compared with the PI controller indicates that the performance of the NMPC outperforms that of the conventional PI/PID control systems.
Abstract
Most of the control systems of wind turbine are generally designed based on a linear system model, such as PI/PID. However, the linear control systems do not sufficiently consider the nonlinearity of wind turbine. Therefore, it is necessary to design nonlinear control system of wind turbine. In this study, the method for designing wind turbine control system using nonlinear model predictive control(NMPC) is presented. NMPC computes the optimal control input through the optimization using the predicted states information of system in finite horizon open-loop. The direct multiple shooting method is used to predict the system state in open-loop. The simulation study has been carried out at high wind speed condition. The result compared with the PI controller indicates that the performance of the NMPC outperforms that of the conventional PI/PID control systems.
참고문헌 (9)
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