控制理论(社会学)
稳健性(进化)
终端滑动模式
计算机科学
滑模控制
控制工程
过程(计算)
控制系统
终端(电信)
工程类
控制(管理)
非线性系统
基因
操作系统
电气工程
物理
电信
人工智能
化学
量子力学
生物化学
作者
Yuchun Tang,Jinghui Qiao,Yuxi Chen
标识
DOI:10.1177/09596518231208629
摘要
The precise control of multi-joint manipulators presents significant challenges in the context of replacing internal liners of large grinding machines. These challenges arise due to the uncertainty of system parameters and external disturbance. A terminal sliding mode control based on a recursive stochastic configuration network is proposed to ensure that the system is stable, and it reduces system oscillations in this article. In addition, a disturbance observer based on recursive stochastic configuration network is designed to estimate and compensate for the uncertainties in the system, thereby improving the robustness of the system. To enhance the realism of the simulations, the simulation modeling process incorporated uncertainty parameters and external disturbance information. The simulation results demonstrated the effectiveness of the proposed terminal sliding mode control approach in meeting the practical control requirements. This accomplishment presents a valuable new method for controlling mechanical arms. The method is applicable under conditions of system uncertainty and external disturbance.
科研通智能强力驱动
Strongly Powered by AbleSci AI