Data-driven output-feedback fault-tolerant control for unknown dynamic systems with faults changing system dynamics. (July 2016)
- Record Type:
- Journal Article
- Title:
- Data-driven output-feedback fault-tolerant control for unknown dynamic systems with faults changing system dynamics. (July 2016)
- Main Title:
- Data-driven output-feedback fault-tolerant control for unknown dynamic systems with faults changing system dynamics
- Authors:
- Wang, Jun-Sheng
Yang, Guang-Hong - Abstract:
- Abstract : Highlights: An output-feedback ADP method is developed to address the optimal control problem for the unknown LTI discrete-time plant with multiple outputs. A model-free output-feedback FTC scheme considering optimal performance is designed. An example of a DC motor control system is used to demonstrate the benefit of the proposed FTC scheme. Abstract: This paper studies the data-driven output-feedback fault-tolerant control (FTC) problem for unknown dynamic systems with faults changing system dynamics. In a framework of active FTC, two basic issues are addressed: the fault detection employing only the measured input–output information; the controller reconfiguration to achieve optimal output-feedback control in the presence of multiple faults. To detect faults and write the system state via the input–output data, an approach to data-driven design of a residual generator with a full-rank transformation matrix is presented. An output-feedback approximate dynamic programming method is developed to solve the optimal control problem under the condition that the unknown linear time-invariant discrete-time plant has multiple outputs. According to the above results and the proposed input–output data-based value function approximation structure of time-varying plants, a model-free output-feedback FTC scheme considering optimal performance is given. Finally, two numerical examples and a practical example of a DC motor control system are used to demonstrate theAbstract : Highlights: An output-feedback ADP method is developed to address the optimal control problem for the unknown LTI discrete-time plant with multiple outputs. A model-free output-feedback FTC scheme considering optimal performance is designed. An example of a DC motor control system is used to demonstrate the benefit of the proposed FTC scheme. Abstract: This paper studies the data-driven output-feedback fault-tolerant control (FTC) problem for unknown dynamic systems with faults changing system dynamics. In a framework of active FTC, two basic issues are addressed: the fault detection employing only the measured input–output information; the controller reconfiguration to achieve optimal output-feedback control in the presence of multiple faults. To detect faults and write the system state via the input–output data, an approach to data-driven design of a residual generator with a full-rank transformation matrix is presented. An output-feedback approximate dynamic programming method is developed to solve the optimal control problem under the condition that the unknown linear time-invariant discrete-time plant has multiple outputs. According to the above results and the proposed input–output data-based value function approximation structure of time-varying plants, a model-free output-feedback FTC scheme considering optimal performance is given. Finally, two numerical examples and a practical example of a DC motor control system are used to demonstrate the effectiveness of the proposed methods. … (more)
- Is Part Of:
- Journal of process control. Volume 43(2016:Jul.)
- Journal:
- Journal of process control
- Issue:
- Volume 43(2016:Jul.)
- Issue Display:
- Volume 43 (2016)
- Year:
- 2016
- Volume:
- 43
- Issue Sort Value:
- 2016-0043-0000-0000
- Page Start:
- 10
- Page End:
- 23
- Publication Date:
- 2016-07
- Subjects:
- Fault detection -- Data-driven methods -- Fault-tolerantcontrol -- Output-feedback control -- Approximate dynamicprogramming (ADP)
Process control -- Periodicals
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660.281 - Journal URLs:
- http://www.sciencedirect.com/science/journal/09591524 ↗
http://www.elsevier.com/journals ↗ - DOI:
- 10.1016/j.jprocont.2016.04.004 ↗
- Languages:
- English
- ISSNs:
- 0959-1524
- Deposit Type:
- Legaldeposit
- View Content:
- Available online (eLD content is only available in our Reading Rooms) ↗
- Physical Locations:
- British Library DSC - 5042.645000
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