Prescribed performance incremental adaptive optimal fault-tolerant control for nonlinear systems with actuator faults
In this paper, a model-free incremental adaptive optimal fault-tolerant controller with prescribed performance is proposed for nonlinear systems subject to actuator faults. Considering the system actuator redundancy, an actuator grouping scheme is introduced according to the actuator functions. An i...
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| Published in | ISA transactions Vol. 120; pp. 99 - 109 |
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| Main Authors | , , , |
| Format | Journal Article |
| Language | English |
| Published |
United States
Elsevier Ltd
01.01.2022
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| Subjects | |
| Online Access | Get full text |
| ISSN | 0019-0578 1879-2022 1879-2022 |
| DOI | 10.1016/j.isatra.2021.03.011 |
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| Abstract | In this paper, a model-free incremental adaptive optimal fault-tolerant controller with prescribed performance is proposed for nonlinear systems subject to actuator faults. Considering the system actuator redundancy, an actuator grouping scheme is introduced according to the actuator functions. An incremental adaptive fault observer is designed to estimate the faults. The recursive least squares (RLS) identification is utilized to identify the incremental system parameters. Both dynamic process requirements and optimal performance index of the closed loop system are taken into consideration by combining prescribed performance bound (PPB) and incremental adaptive dynamic programming (IADP). Simulations are given to verify the effectiveness of the proposed IADP reconfigurable fault-tolerant control scheme.
•A nonlinear incremental adaptive optimal fault-tolerant control scheme is proposed.•Both prescribed performance bound and optimal cost index are considered.•Incremental fault observer is designed to estimate the fault information. |
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| AbstractList | In this paper, a model-free incremental adaptive optimal fault-tolerant controller with prescribed performance is proposed for nonlinear systems subject to actuator faults. Considering the system actuator redundancy, an actuator grouping scheme is introduced according to the actuator functions. An incremental adaptive fault observer is designed to estimate the faults. The recursive least squares (RLS) identification is utilized to identify the incremental system parameters. Both dynamic process requirements and optimal performance index of the closed loop system are taken into consideration by combining prescribed performance bound (PPB) and incremental adaptive dynamic programming (IADP). Simulations are given to verify the effectiveness of the proposed IADP reconfigurable fault-tolerant control scheme. In this paper, a model-free incremental adaptive optimal fault-tolerant controller with prescribed performance is proposed for nonlinear systems subject to actuator faults. Considering the system actuator redundancy, an actuator grouping scheme is introduced according to the actuator functions. An incremental adaptive fault observer is designed to estimate the faults. The recursive least squares (RLS) identification is utilized to identify the incremental system parameters. Both dynamic process requirements and optimal performance index of the closed loop system are taken into consideration by combining prescribed performance bound (PPB) and incremental adaptive dynamic programming (IADP). Simulations are given to verify the effectiveness of the proposed IADP reconfigurable fault-tolerant control scheme.In this paper, a model-free incremental adaptive optimal fault-tolerant controller with prescribed performance is proposed for nonlinear systems subject to actuator faults. Considering the system actuator redundancy, an actuator grouping scheme is introduced according to the actuator functions. An incremental adaptive fault observer is designed to estimate the faults. The recursive least squares (RLS) identification is utilized to identify the incremental system parameters. Both dynamic process requirements and optimal performance index of the closed loop system are taken into consideration by combining prescribed performance bound (PPB) and incremental adaptive dynamic programming (IADP). Simulations are given to verify the effectiveness of the proposed IADP reconfigurable fault-tolerant control scheme. In this paper, a model-free incremental adaptive optimal fault-tolerant controller with prescribed performance is proposed for nonlinear systems subject to actuator faults. Considering the system actuator redundancy, an actuator grouping scheme is introduced according to the actuator functions. An incremental adaptive fault observer is designed to estimate the faults. The recursive least squares (RLS) identification is utilized to identify the incremental system parameters. Both dynamic process requirements and optimal performance index of the closed loop system are taken into consideration by combining prescribed performance bound (PPB) and incremental adaptive dynamic programming (IADP). Simulations are given to verify the effectiveness of the proposed IADP reconfigurable fault-tolerant control scheme. •A nonlinear incremental adaptive optimal fault-tolerant control scheme is proposed.•Both prescribed performance bound and optimal cost index are considered.•Incremental fault observer is designed to estimate the fault information. |
| Author | Zhang, Han Huang, Chenyu Ji, Kun Zhang, Shaojie |
| Author_xml | – sequence: 1 givenname: Shaojie surname: Zhang fullname: Zhang, Shaojie email: zhangsj@nuaa.edu.cn – sequence: 2 givenname: Chenyu surname: Huang fullname: Huang, Chenyu – sequence: 3 givenname: Kun surname: Ji fullname: Ji, Kun – sequence: 4 givenname: Han orcidid: 0000-0003-2794-7731 surname: Zhang fullname: Zhang, Han |
| BackLink | https://www.ncbi.nlm.nih.gov/pubmed/33814263$$D View this record in MEDLINE/PubMed |
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| Keywords | Incremental adaptive dynamic programming (IADP) Prescribed performance bound (PPB) Fault-tolerant control (FTC) Actuator faults |
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| SubjectTerms | Actuator faults Fault-tolerant control (FTC) Incremental adaptive dynamic programming (IADP) Prescribed performance bound (PPB) |
| Title | Prescribed performance incremental adaptive optimal fault-tolerant control for nonlinear systems with actuator faults |
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