Zhang Da-Wei, Liu Guo-Ping
Center for Control Theory and Guidance Technology, Harbin Institute of Technology, Harbin, 150001, China.
Center for Control Theory and Guidance Technology, Harbin Institute of Technology, Harbin, 150001, China; Center for Control Science and Technology, Southern University of Science and Technology, Shenzhen, 518055, China.
ISA Trans. 2023 Aug;139:425-435. doi: 10.1016/j.isatra.2023.03.041. Epub 2023 Apr 10.
This research is concerned with an output tracking problem for networked high-order fully actuated (NHOFA) systems subject to communication delays and external disturbances, where communication delays occur in sensor to network node and network node to actuator. A HOFA system model, as a novel system representation, is applied to establish the dynamics of networked control systems (NCSs). Accordingly, a disturbance observer based HOFA predictive control approach is proposed to address this problem. In the proposed approach, a disturbance observer is utilized to cope with the external disturbances, and then a local HOFA feedback with disturbance compensation is designed to adjust the closed-loop system performances. Further, a Diophantine Equation is applied to establish an incremental HOFA (IHOFA) prediction model to substitute a reduced-order prediction model, such that multi-step ahead predictions are derived to minimize a cost function involving the optimization of tracking performance and the compensation of network-induced communication delays. A necessary and sufficient criterion is given to discuss the stability and tracking performance of closed-loop NHOFA systems, it is simple to use in system analysis and extend in practice. The availability of the proposed approach is demonstrated via simulated and experimental results for tracking control of air-bearing spacecraft (ABS) simulator.
本研究关注受通信延迟和外部干扰影响的网络化高阶全驱动(NHOFA)系统的输出跟踪问题,其中通信延迟发生在传感器到网络节点以及网络节点到执行器的过程中。一种高阶全驱动(HOFA)系统模型作为一种新颖的系统表示方法,被用于建立网络化控制系统(NCS)的动力学模型。相应地,提出了一种基于干扰观测器的HOFA预测控制方法来解决该问题。在所提出的方法中,利用干扰观测器来应对外部干扰,然后设计一个带有干扰补偿的局部HOFA反馈来调整闭环系统性能。此外,应用丢番图方程建立一个增量式HOFA(IHOFA)预测模型来替代降阶预测模型,从而得出多步超前预测,以最小化一个涉及跟踪性能优化和网络诱导通信延迟补偿的代价函数。给出了一个充要准则来讨论闭环NHOFA系统的稳定性和跟踪性能,该准则在系统分析中易于使用且在实践中易于扩展。通过对气浮航天器(ABS)模拟器跟踪控制的仿真和实验结果,验证了所提方法的有效性。