控制理论(社会学)
滑模控制
非线性系统
人工神经网络
执行机构
变结构控制
磁滞
计算机科学
控制器(灌溉)
跟踪误差
工程类
控制(管理)
人工智能
物理
农学
生物
量子力学
作者
Fei Yang,Peng Shi,Cheng‐Chew Lim
标识
DOI:10.1080/00207721.2020.1783385
摘要
This paper considers the problem of achieving time-varying formation for second-order multi-agent systems with actuator hysteresis, unknown system dynamics and external disturbances. A novel adaptive dynamic sliding mode scheme is developed to control a group of agents to follow desired trajectories. First, a dynamic sliding mode approach based on local formation tracking error is utilised to reject external disturbances and obtain smooth and chattering-free control input. Then, Chebyshev neural network is employed to estimate the nonlinear function related to the system's dynamic equation. A smooth projection law is also applied to regulate the output of the neural network. Moreover, a Bouc–Wen hysteresis compensator has been added to the current control law to offset the known actuator hysteresis effect. Finally, a numerical simulation based on a multiple omni-directional robot system is presented to illustrate the performance of the proposed control law.
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