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Observer‐based cooperative distributed fault‐tolerant model predictive control with imperfect network communication and asynchronous measurements
Author(s) -
Xiao Guannan,
Liu Fei
Publication year - 2020
Publication title -
international journal of robust and nonlinear control
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 1.361
H-Index - 106
eISSN - 1099-1239
pISSN - 1049-8923
DOI - 10.1002/rnc.4994
Subject(s) - actuator , control theory (sociology) , fault tolerance , asynchronous communication , networked control system , model predictive control , observer (physics) , computer science , network packet , controller (irrigation) , telecommunications network , distributed computing , control (management) , computer network , quantum mechanics , artificial intelligence , agronomy , biology , physics
Summary Intermittent actuator and sensor faults tolerant are simultaneously considered in a distributed control system with imperfect communication network. The asynchronous measurements of different output variables in one sampling period are synchronized through a novel two‐stage model‐based projection method. Different from centralized control network, in both layer‐to‐layer and in‐layer communication, the packet delay, loss and disordering are corrected by the predicted data from model predictive control. Moreover, a completely distributed state observer is established for both system states and sensor faults problem with bounded noise uncertainties. For the intermittent actuator faults, actuator plug‐and‐play design methods based on model predictive control has been introduced, making the actuator faults estimation omitted. The distributed stability conditions are derived for the proposed fault‐tolerant controller, and the online feasibility is explained in detail. Numerical simulation is given to verify the design procedure.