Parallel Implementation of Fuzzy-PID Controllers for Pitch Control of Offshore Wind Turbines | IEEE Conference Publication | IEEE Xplore

Parallel Implementation of Fuzzy-PID Controllers for Pitch Control of Offshore Wind Turbines


Abstract:

Offshore wind turbines, with their larger rotors designed to boost power capacity, contend with increased aerodynamic and operational loads. These heightened loads often ...Show More

Abstract:

Offshore wind turbines, with their larger rotors designed to boost power capacity, contend with increased aerodynamic and operational loads. These heightened loads often result in mechanical damage and decreased efficiency. Furthermore, because of variations in wind speed across the rotor, each blade experiences unique loads. These loads can cause fatigue and vibration in the blades, which can impair the blades' performance. The rotor blades' angle of attack with respect to the wind is adjusted by a well-designed pitch controller to minimise these problems and maximise power production. This paper addresses the differences between onshore and offshore wind turbines, nonlinear characteristics of wind turbines and lowers blade loads by presenting an innovative pitch angle controlling approach using fuzzy logic. Three controllers are used to create and assess a mathematical model of the pitch controlling system: PID, Fuzzy and Fuzzy- PID. Simulation results indicate that the Fuzzy-PID controller surpasses other strategies in mitigating uncertainties and disturbances in offshore wind turbine systems. Compared to conventional PID control, the Fuzzy-PID hybrid system demonstrates notable improvements, including a reduced rise time of 0.489 seconds, settling time of 4.327 seconds, overshoot of 6.989%, undershoot of 1.59%, and zero steady-state error. This innovative approach holds promise for enhancing offshore wind turbine efficiency, ensuring sustainable energy production in the face of escalating demands.
Date of Conference: 28-30 August 2024
Date Added to IEEE Xplore: 23 October 2024
ISBN Information:
Conference Location: Sunderland, United Kingdom

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