Journal
ENERGIES
Volume 14, Issue 1, Pages -Publisher
MDPI
DOI: 10.3390/en14010230
Keywords
variable speed variable pitch (VSVP); linear quadratic regulator (LQR); fuzzy logic; wind turbine scaled model; wind tunnel test
Categories
Funding
- New and Renewable Energy-Core Technology Program of the Korea Institute of Energy Technology Evaluation and Planning (KETEP)
- Ministry of Trade, Industry and Energy, Republic of Korea [20183010025440]
- Korea Evaluation Institute of Industrial Technology (KEIT) [20183010025440] Funding Source: Korea Institute of Science & Technology Information (KISTI), National Science & Technology Information Service (NTIS)
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This study designed a linear quadratic regulator based on fuzzy logic control algorithm for wind turbines and verified its superior performance through simulations and wind tunnel tests. Results showed that the LQRF control significantly reduced tower vibration and power deviation compared to PI control.
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.
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