Model Predictive Fault-Tolerant Tracking Control for PDF Control Systems With Packet Losses
Model Predictive Fault-Tolerant Tracking Control for PDF Control Systems With Packet Losses
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DOI：
10.1109/tsmc.2021.3103814
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发表时间：
2022-08
期刊：
影响因子：
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通讯作者：
Lifan Li;L. Yao;Hong Wang
中科院分区：
文献类型：
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作者：
Lifan Li;L. Yao;Hong Wang
研究了一类具有执行器故障、不确定性、未知干扰和随机丢包的非线性概率密度函数（PDF）控制系统的容错跟踪控制策略。控制输入信号的丢失和测量信号的丢失被描述为独立的伯努利分布。提出了一种基于李雅普诺夫函数的自适应故障诊断观测器，可同时估计故障、扰动和丢包状态。与传统的鲁棒容错控制（FTC）不同，基于模型预测控制框架，设计了一种新的主动容错跟踪控制器，该控制器具有更好的自适应容错性能。最后，通过对造纸过程的仿真研究，验证了所提出的FTC方法的有效性。
In this article, a fault-tolerant tracking control strategy is investigated for nonlinear probability density function (PDF) control systems with the actuator fault, uncertainties, unknown disturbance, and random packet losses. The control input signal dropout and measurement signal dropouts are described as the independent Bernoulli distribution. An adaptive fault diagnosis (FD) observer based on the Lyapunov function is given to simultaneously estimate the fault, disturbance, and state with packet losses. Different from the traditional robust fault-tolerant control (FTC), a new active fault-tolerant tracking controller is designed based on the model predictive control framework, which has better adaptive fault-tolerant performance. Finally, the validity of the proposed FTC method has been proved by a simulation study of a papermaking process.