控制理论(社会学)
挖掘机
补偿(心理学)
渡线
前馈
液压马达
信号(编程语言)
液压缸
水力机械
流离失所(心理学)
非线性系统
工程类
计算机科学
控制工程
机械工程
物理
人工智能
控制(管理)
量子力学
程序设计语言
心理治疗师
心理学
精神分析
作者
Hao Feng,Wenming Qiao,Chenbo Yin,Yu Huang,Donghui Cao
标识
DOI:10.1016/j.mechmachtheory.2019.07.004
摘要
It is necessary to identify and compensate the non-linear friction to improve the performances of the electro-hydraulic system of robotic excavators. The mathematical model of the electro-hydraulic system is established first, and the non-linear friction are described by the improved Stribeck model. The actual friction force is calculated by measuring the pressures of the two chambers of the hydraulic cylinder at different constant velocities. The fitness, crossover and mutation probabilities of the genetic algorithm are improved to overcome the shortcomings of stagnation and premature convergence. Four unknown parameters in the friction model are identified and verified by the improved genetic algorithm. According to the displacement signal from the sensor, a velocity observer is used to estimate the velocity signal in real time. Based on the principle of structural invariance, a dynamic friction feedforward compensation method is designed. On this basis, the experiments of friction compensation (FC) under three working conditions of sinusoidal trajectory, low and high velocities tracking were carried out for the arm electro-hydraulic system. The results show that the proposed Stribeck model and friction compensation control method effectively eliminates the low velocity crawling and amplitude flattening phenomena, and improves the control performances of the system.
科研通智能强力驱动
Strongly Powered by AbleSci AI