同步(交流)
控制理论(社会学)
对偶(语法数字)
计算机科学
跟踪误差
控制器(灌溉)
自适应控制
控制工程
控制(管理)
工程类
人工智能
艺术
农学
频道(广播)
文学类
生物
计算机网络
作者
Cheng Qian,Hong Lü,Essa Alghannam,Liu Zhi,Jianru Xue,Dong Wang,Haoran Dou
标识
DOI:10.1109/icsai48974.2019.9010136
摘要
The dual-drive gantry structure has been wildly used in industrial machines, especially in high-speed and high-loaded equipment. However, it needs precise synchronization control strategies to guarantee the performance. Aiming to the uncertainties in the industrial environment, a strategy with Artificial Bee Colony Algorithm (ABCA) and adaptive cross-coupled synchronization control strategy are adopted to improve the dual-drive control performance. Based on the integral of the time-weighted absolute error criterion, ABCA is used to optimize the tracking ability of single drive subsystem, and the simplified variable universe fuzzy PID type compensator is used to reduce the synchronization error of two parallel drive subsystems in one particular direction. The simulation results and experiment result show that such kind of gantry feed system using proposed control strategy has better synchronization performance.
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