Variable Universe Fuzzy PID Control of Horizontal Vibration of High-speed Elevator Cars Based on BP-NSGA-Ⅱ Optimization
Aiming at the problem of horizontal vibration of the cars that affects the comfort and safety of high-speed elevators,a variable universe fuzzy PID control method based on backpropagation(BP)neural network and non-dominant sorting genetic algorithm-Ⅱ(NSGA-Ⅱ)is proposed.Firstly,the dynamics model of the car is established based on D'Alembert's principle.Then,based on the traditional variable universe fuzzy PID control,a BP neural network model with quantization factor as input and root mean square of horizontal vibration acceleration and displacement of the car as output is established.Finally,the model is used as the fitness function of NSGA-Ⅱalgorithm,and the quantization factor is optimized by NSGA-Ⅱ algorithm to improve the system control accuracy.The simulation analysis results show that the variable universe fuzzy PID control method based on BP neural network and NSGA-Ⅱ algorithm has better suppression effect on the horizontal vibration of the car than the original variable universe fuzzy PID control method.
vibration and wavevariable universe fuzzy PID controlquantification of the factorBP neural networksNSGA-Ⅱ algorithm
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