Speed Control of Blade Gluing Travel Mechanism Based on Hybrid Algorithm Optimization
The speed control of wind turbine blade gluing travel mechanism directly affects the gluing quality and stability.Addressing issues such as inadequate adaptive response,insufficient control precision,and weak resistance to interference during the adhesive application process,an analysis of the overall layout and structural components of the adhesive application equipment was conducted.Subsequently,the mathematical model of state equation controlling voltage input and rack-speed output and the fuzzy proportional-integral-derivative(PID)controller with Kalman-genetic optimization were established.Genetic algorithms were employed to optimize key parameters within the fuzzy controller,thereby achieving precise control of the motion system's speed.The integration of a Kalman filter algorithm was also introduced to mitigate the impact of external disturbances on the system.The walking mechanism prototype was used to verify the fuzzy PID control algorithm optimized by genetic algorithm.The experimental results show that the fuzzy PID control algorithm optimized based on genetic algorithm has an overshoot of 0.8％and a regulation time of 0.153 s,which is an improvement compared to both fuzzy PID and PID control algorithms.The fuzzy PID based on Kalman genetic optimization improves the response time by 10 times and reduces interference by 16 times compared to the genetically optimized fuzzy PID.The Kalman genetic algorithm optimized fuzzy PID improves the control accuracy,stability and anti-interference ability of the system,which improves the gluing quality and gluing efficiency of the gluing equipment.
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