Collaborative operational fault tolerant control for stochastic distribution control system

Yuwei Ren, Yixian Fang, Aiping Wang, Huaxiang Zhang, Hong Wang

Research output: Contribution to journalArticlepeer-review

29 Scopus citations

Abstract

Based on a class of industrial processes, a new distributed fault diagnosis approach and a collaborative operational fault tolerant control law are proposed for an irreversible interconnected stochastic distribution control (SDC) system with boundary conditions. This control method is different from the existing collaborative fault tolerant controllers which enable the output probability density function (PDF) to track a desired PDF as close as possible. When fault occurs, a setpoint redesigned fault tolerant approach is adopted to accommodate the fault instead of reconstructing the controller. An augmented PID nominal controller and a setpoint compensation item with linear structure are used to obtain a collaborative operational fault tolerant controller via solution of linear matrix inequalities (LMIs). Simulations are included to show the effectiveness of the proposed algorithms where encouraging results have been obtained.

Original languageEnglish
Pages (from-to)141-149
Number of pages9
JournalAutomatica
Volume98
DOIs
StatePublished - Dec 2018
Externally publishedYes

Funding

The work waspartially supported by the Natural Science Foundation of Shandong Province, PR China (No. ZR2015PF006), National Natural Science Foundation of China (61473176, 61573022 and 61772322). The material in this paper was not presented at any conference. This paper was recommended for publication in revised form by Associate Editor Oswaldo Luiz V. Costa under the direction of Editor Richard Middleton.

FundersFunder number
National Natural Science Foundation of China61473176, 61772322, 61573022
Natural Science Foundation of Shandong ProvinceZR2015PF006

    Keywords

    • Fault diagnosis
    • Interconnected systems
    • Operational fault tolerant control
    • Stochastic distribution control system

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