Model Predictive Fault-Tolerant Tracking Control for PDF Control Systems With Packet Losses

Li, Lifan; Yao, Lina; Wang, Hong

doi:10.1109/tsmc.2021.3103814

Model Predictive Fault-Tolerant Tracking Control for PDF Control Systems With Packet Losses

Journal Article · Fri Aug 20 00:00:00 EDT 2021 · IEEE Transactions on Systems, Man, and Cybernetics: Systems

DOI:https://doi.org/10.1109/tsmc.2021.3103814· OSTI ID:1817498

Li, Lifan ^[1]; Yao, Lina ^[1]; Wang, Hong ^[2]

Zhengzhou Univ. (China)
Univ. of Manchester (United Kingdom); Oak Ridge National Lab. (ORNL), Oak Ridge, TN (United States)

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. Furthermore, 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.

View Accepted Manuscript (DOE)

Research Organization:: Oak Ridge National Laboratory (ORNL), Oak Ridge, TN (United States)

Sponsoring Organization:: USDOE

Grant/Contract Number:: AC05-00OR22725

OSTI ID:: 1817498

Journal Information:: IEEE Transactions on Systems, Man, and Cybernetics: Systems, Journal Name: IEEE Transactions on Systems, Man, and Cybernetics: Systems Journal Issue: 4 Vol. 60; ISSN 2168-2216

Publisher:: IEEECopyright Statement

Country of Publication:: United States

Language:: English

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42 ENGINEERING
control systems
fault tolerance
fault tolerant systems
model predictive control
packet loss
predictive models
probability density function
random packet losses
stochastic processes

Model Predictive Fault-Tolerant Tracking Control for PDF Control Systems With Packet Losses

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