2019 IEEE Conference on Control Technology and Applications (CCTA) 2019
DOI: 10.1109/ccta.2019.8920626
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Adaptive Integral Sliding Mode Design for the Pitch Control of a Variable Speed Wind Turbine

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Cited by 3 publications
(5 citation statements)
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“…Tables 3 and 4 show the parameters of the proposed AN-FTSMC and ARC, respectively. The proposed ANFTSMC method is evaluated below the rated tidal current speed and the results are compared with fuzzy adaptative backstepping control (FABC) , active disturbance rejection control (ADRC) [1], integral sliding mode control (ISMC) [56], and non-singular fast terminal sliding mode control (NFTSMC) [22]. Then, a comparison of variable pitch control methods, including gain scheduling proportional integral derivative (GSPID) [57], ISMC, and pseudo-tip-speed ratio and adaptive genetic algorithm (PTSRAGA) [58], are considered.…”
Section: Simulation Results and Analysismentioning
confidence: 99%
“…Tables 3 and 4 show the parameters of the proposed AN-FTSMC and ARC, respectively. The proposed ANFTSMC method is evaluated below the rated tidal current speed and the results are compared with fuzzy adaptative backstepping control (FABC) , active disturbance rejection control (ADRC) [1], integral sliding mode control (ISMC) [56], and non-singular fast terminal sliding mode control (NFTSMC) [22]. Then, a comparison of variable pitch control methods, including gain scheduling proportional integral derivative (GSPID) [57], ISMC, and pseudo-tip-speed ratio and adaptive genetic algorithm (PTSRAGA) [58], are considered.…”
Section: Simulation Results and Analysismentioning
confidence: 99%
“…The proposed approach is implemented on a 5-MW-3-bladed-variable-pitch WT using the Fatigue, Aerodynamics, Structures, and Turbulence (FAST) simulator. The results are compared with an adaptive integral SMC 24 and a well-tuned PI-gain-scheduling controller developed by U.S. National Renewable Energy Laboratory (NREL). 58 Two scenarios have been used to testify the controller.…”
Section: Simulation Studymentioning
confidence: 99%
“…Reformulating the rotor dynamics to incorporate a more realistic nonlinear phenomenological model of the control effectiveness. This exposes the dependence on a vector of pitch angles and contrary to existing approaches, 15,24,45,46 which only rely on the linearized effectiveness with respect to the pitch angle. 2.…”
Section: Introductionmentioning
confidence: 97%
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