噪声与振动控制2024，Vol.44Issue(2)：63-69,81,8.DOI:10.3969/j.issn.1006-1355.2024.02.011
基于BP-NSGA-Ⅱ优化的高速电梯轿厢水平振动变论域模糊PID控制
Variable Universe Fuzzy PID Control of Horizontal Vibration of High-speed Elevator Cars Based on BP-NSGA-Ⅱ Optimization
摘要
Abstract
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.关键词
振动与波/变论域模糊PID控制/量化因子/BP神经网络/NSGA-Ⅱ算法Key words
vibration and wave/variable universe fuzzy PID control/quantification of the factor/BP neural networks/NSGA-Ⅱ algorithm分类
建筑与水利引用本文复制引用
陈岁繁,杨松,李其朋..基于BP-NSGA-Ⅱ优化的高速电梯轿厢水平振动变论域模糊PID控制[J].噪声与振动控制,2024,44(2):63-69,81,8.基金项目
国家重点研发计划资助项目(科技助力经济2020)(SQ2020YFF0423771) （科技助力经济2020）
浙江省科技计划资助项目(2020C01053) （2020C01053）
