Optimization Analysis on Speed Control of DC Motor Based on Fuzzy WMR-PID Algorithm
In order to solve the obvious fluctuation of the output speed caused by traditional PID control mode under white noise,a fuzzy WMR-PID technology is developed to adjust the speed of brushless DC motor.The output variable is determined by fuzzy reasoning method,the fuzzy processing is solved by gravity analysis method,and the fuzzy WMR-PID control model is established.The research results show that the fuzzy WMR-PID control mode can achieve the requirement of fast following.When the initial command speed is 2 450 r/min,the command rapidly increases to 3 540 r/min at 8 s,and rapidly decreases to 1 930 r/min at 14 s.Compared with fuzzy PID method,fuzzy WMR-PID can greatly reduce the overshoot of control dynamics,which indicates that fuzzy WMR-PID controller can achieve ideal control effect with excellent robustness.The research improves the speed regulation ability of brushless DC motor andb has good control effect.
brushless DC motorspeed controlfuzzy self-tuningovershootrobustness
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