Model Predictive Fault-Tolerant Tracking Control for PDF Control Systems With Packet Losses
针对执行器故障、不确定性和随机丢包的非线性概率密度函数控制系统，提出一种基于模型预测控制的主动容错跟踪控制策略，通过自适应故障诊断观测器同时估计故障、扰动和状态，仿真验证了有效性。
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.