Zhang Da-Wei, Liu Guo-Ping
IEEE Trans Cybern. 2024 Oct;54(10):5721-5732. doi: 10.1109/TCYB.2024.3369895. Epub 2024 Oct 9.
This research is intended to address a robust cooperative control problem of heterogeneous uncertain nonlinear high-order fully actuated multiagent systems (HUN-HOFAMASs). A nonlinear HOFA system model is used to describe the multiagent systems (MASs) with heterogeneous uncertain nonlinear dynamics, which is called the HUN-HOFAMASs. A predictive terminal sliding-mode control-based robust cooperative control scheme is presented to address this problem. In this scheme, heterogeneous nonlinear dynamics of original system are offset to establish a linear constant HOFA system with the help of full actuation feature. Then, a terminal sliding-mode variable for enhancing the system robustness is introduced to handle the uncertainties. Furthermore, a linear incremental prediction model is developed in a HOFA form by means of a Diophantine equation. According to this model, the multistep terminal sliding-mode predictions are yielded to optimize the robust cooperative control performance and compensate for the network-induced communication constraints in the feedback and forward channels. Based on a linear matrix inequality (LMI) method, a necessary and sufficient criterion is derived to discuss the simultaneous consensus and stability of closed-loop HUN-HOFAMASs. The simulation and comparison results of cooperative flying around of multiple spacecraft system are shown to illustrate the capability and advantage of the presented predictive terminal sliding-mode control for robust cooperative control.
本研究旨在解决异构不确定非线性高阶全驱动多智能体系统(HUN-HOFAMASs)的鲁棒协同控制问题。采用非线性高阶全驱动系统模型来描述具有异构不确定非线性动力学的多智能体系统(MASs),即HUN-HOFAMASs。提出了一种基于预测终端滑模控制的鲁棒协同控制方案来解决该问题。在该方案中,借助全驱动特性抵消原系统的异构非线性动力学,建立线性常值高阶全驱动系统。然后,引入终端滑模变量以增强系统鲁棒性来处理不确定性。此外,通过丢番图方程以高阶全驱动形式建立线性增量预测模型。根据该模型,进行多步终端滑模预测以优化鲁棒协同控制性能,并补偿反馈和前向通道中的网络诱导通信约束。基于线性矩阵不等式(LMI)方法,推导了一个充要准则来讨论闭环HUN-HOFAMASs的同步一致性和稳定性。给出了多航天器系统协同飞行的仿真和比较结果,以说明所提出的预测终端滑模控制在鲁棒协同控制方面的能力和优势。