Design and Verification of the LQR Controller Based on Fuzzy Logic for Large Wind Turbine

Taesu Jeon and Insu Paek
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Taesu Jeon: Department of Integrated Energy & Infra System, Kangwon National University, Chuncheon 24341, Gangwon, Korea
Insu Paek: Department of Integrated Energy & Infra System, Kangwon National University, Chuncheon 24341, Gangwon, Korea

Energies, 2021, vol. 14, issue 1, 1-17

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.

Keywords: variable speed variable pitch (VSVP); linear quadratic regulator (LQR); fuzzy logic; wind turbine scaled model; wind tunnel test (search for similar items in EconPapers)
JEL-codes: Q Q0 Q4 Q40 Q41 Q42 Q43 Q47 Q48 Q49 (search for similar items in EconPapers)
Date: 2021
References: View references in EconPapers View complete reference list from CitEc
Citations: View citations in EconPapers (5)

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