5 MW 풍력 터빈 최적 제어 설계 평가
Evaluation of Optimal Control Designs for a 5 MW Wind Turbine
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초록
Optimal controllers are designed for a 5 MW variable-speed horizontal-axis wind turbine using Model Predictive Control (MPC) and Linear Quadratic Gaussian (LQG) control. The control design models required as part of the optimal control design are obtained using a high-fidelity aeroelastic model (i.e., DNV-GL Bladed). The optimal controllers are subsequently designed based on these control design models linearised in three operating regions: below rated (region 1), just below rated (region 2), and above rated (region 3) wind speeds. Various different simulation results are presented to demonstrate that the optimal controllers yield improved results compared to the conventional PID controller in terms of dealing with the drive-train mode; that is, while the standard PID controller requires a drive-train damper, optimal controllers, especially MPC, do not require such a damper to remove oscillation in the drive-train mode. Finally, a comparison between the two optimal controllers demonstrates that overall, MPC outperforms LQG controllers.
Abstract
Optimal controllers are designed for a 5 MW variable-speed horizontal-axis wind turbine using Model Predictive Control (MPC) and Linear Quadratic Gaussian (LQG) control. The control design models required as part of the optimal control design are obtained using a high-fidelity aeroelastic model (i.e., DNV-GL Bladed). The optimal controllers are subsequently designed based on these control design models linearised in three operating regions: below rated (region 1), just below rated (region 2), and above rated (region 3) wind speeds. Various different simulation results are presented to demonstrate that the optimal controllers yield improved results compared to the conventional PID controller in terms of dealing with the drive-train mode; that is, while the standard PID controller requires a drive-train damper, optimal controllers, especially MPC, do not require such a damper to remove oscillation in the drive-train mode. Finally, a comparison between the two optimal controllers demonstrates that overall, MPC outperforms LQG controllers.
참고문헌 (19)
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