Abstract
In this study, a linear quadratic regulator based on the fuzzy logic (LQRF) control algorithm for a variable-speed variable-pitch wind turbine was designed. In addition, to verify the optimum performance of the controller, simulations and wind tunnel tests were conducted. In the simulation, the performances of the proportional-integral (PI) and LQRF algorithms were compared in the transition region and the rated power region. In the wind tunnel test, the applicability of the LQRF algorithm was verified by comparing it with the conventional PI algorithms. The results showed that when compared with the PI control, the proposed LQRF control reduced the tower vibration by up to 12.50% depending on the operating region. Furthermore, the power deviation was reduced by 38.93%. These tests confirmed that the proposed LQRF control increases the power performance and structural stability of wind turbines compared with conventional PI controls.
Highlights
Large wind turbines have recently been developed into a variable-speed variable-pitch (VSVP) type that can control the generator torque and blade pitch to operate more efficiently.The various control methods have been studied to control the VSVP wind turbines, but the control strategies are mostly similar including this study
These tests confirmed that the proposed LQRF control increases the power performance and structural stability of wind turbines compared with conventional PI controls
With the proposed LQRF control, the rotor speed deviation was reduced by 36.39%, and the power deviation was reduced by 38.94%
Summary
Large wind turbines have recently been developed into a variable-speed variable-pitch (VSVP) type that can control the generator torque and blade pitch to operate more efficiently.The various control methods have been studied to control the VSVP wind turbines, but the control strategies are mostly similar including this study. The control strategy of VSVP wind turbines can be divided into two categories based on the rated wind speed [1,2]. In regions with wind speeds lower than the rated value, the generator torque is controlled for the wind turbine to follow the maximum power point for that wind speed. In regions with wind speeds higher than the rated wind speed, the blade pitch angle is controlled for the wind turbine to maintain the rated power regardless of wind speed variation. In addition to tracking the maximum power point and maintaining the rated power, an algorithm for smooth connection between the two control regions is used near the rated wind speed [2,3]
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