Aperiodic event‐triggered robust model predictive control for linear parameter‐varying system with round‐robin protocol
Aperiodic event‐triggered robust model predictive control for linear parameter‐varying system with round‐robin protocol
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DOI：
10.1002/rnc.5820
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发表时间：
2021-10
影响因子：
3.9
通讯作者：
Jun Wang;B. Ding;Ping Wang
中科院分区：
文献类型：
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作者：
Jun Wang;B. Ding;Ping Wang
研究了线性变参数网络控制系统的鲁棒模型预测控制（MPC）问题，其中事件触发策略和循环调度（RR）协议分别位于传感器到控制器和控制器到执行器通道.针对工程应用中存在的系统状态不可测和通信负担大等问题，采用了一种结合非周期事件触发策略的输出反馈控制器，其中触发条件采用时变设计。此外，为了避免意外的数据冲突，使用RR协议来调度共享网络，并保证控制系统的效率。通过求解在线凸鲁棒MPC优化问题得到控制器参数，并讨论了优化问题的可行性和闭环稳定性。数值仿真算例验证了理论结果的有效性。
This article investigates the robust model predictive control (MPC) problem for networked control systems represented by the linear parameter‐varying model, in which an event‐triggered strategy and the round‐robin (RR) protocol scheduling locate at the sensor‐to‐controller and controller‐to‐actuator channels, respectively. By considering the problems of system state immeasurable and communication burden in engineering application, an output feedback controller that combines the aperiodic event‐triggered strategy is applied, where the triggering condition is designed in a time‐varying fashion. In addition, in order to avoid unexpected data collisions, the RR protocol is utilized to schedule a shared network and guarantee the efficiency of the control system. The controller parameters are obtained by solving an online convex robust MPC optimization problem, and the feasibility of the optimization problem and closed‐loop stability are also addressed. The effectiveness of the proposed theoretical results is illustrated by a numerical simulation example.