Prescribed Performance Fault-Tolerant Control of Nonlinear Systems Via Actuator Switching

This paper investigates a prescribed performance control (PPC) problem of nonlinear strict- feedback systems subject to actuator faults. By introducing <inline-formula><tex-math notation="LaTeX">ln</tex-math></inline-formula>-type performance functions, a constraint...

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Published inIEEE transactions on fuzzy systems Vol. 32; no. 3; pp. 1 - 10
Main Authors Zhang, Chen-Liang, Guo, Ge
Format Journal Article
LanguageEnglish
Published New York IEEE 01.03.2024
The Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Subjects
Actuator faults
Actuators
Adaptive control
Algorithms
Control systems
dynamic redundancy
Fault tolerance
Fuzzy control
Fuzzy logic
fuzzy logic system
Heuristic algorithms
Monitoring
Nonlinear control
Nonlinear systems
Nonlinearity
prescribed performance control
Redundancy
Switches
Switching
Tracking errors
Vehicle dynamics
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Abstract This paper investigates a prescribed performance control (PPC) problem of nonlinear strict- feedback systems subject to actuator faults. By introducing <inline-formula><tex-math notation="LaTeX">ln</tex-math></inline-formula>-type performance functions, a constraint of output tracking error is established to prescribe the performance. Via the use of mapping and barrier error transformations, the constraint-handling issue is converted into a stabilization one of unconstrained variable. Then an adaptive controller involving a fuzzy logic system (FLS) to approximate the unknown nonlinearity is devised to stabilize the transformed variable, resulting to a universal PPC algorithm that applies to all types of asymmetric prescribed performance requirements. To prevent such requirements from being violated due to actuator faults, a novel dynamic redundancy mechanism is incorporated to implement the performance monitoring and switching from the faulty actuator to a healthy one. Two simulation examples are presented to verify the effectiveness and superiority of the proposed scheme.
AbstractList This paper investigates a prescribed performance control (PPC) problem of nonlinear strict- feedback systems subject to actuator faults. By introducing <inline-formula><tex-math notation="LaTeX">ln</tex-math></inline-formula>-type performance functions, a constraint of output tracking error is established to prescribe the performance. Via the use of mapping and barrier error transformations, the constraint-handling issue is converted into a stabilization one of unconstrained variable. Then an adaptive controller involving a fuzzy logic system (FLS) to approximate the unknown nonlinearity is devised to stabilize the transformed variable, resulting to a universal PPC algorithm that applies to all types of asymmetric prescribed performance requirements. To prevent such requirements from being violated due to actuator faults, a novel dynamic redundancy mechanism is incorporated to implement the performance monitoring and switching from the faulty actuator to a healthy one. Two simulation examples are presented to verify the effectiveness and superiority of the proposed scheme.
This article investigates a prescribed performance control (PPC) problem of nonlinear strict-feedback systems subject to actuator faults. By introducing [Formula Omitted]-type performance functions, a constraint of output tracking error is established to prescribe the performance. Via the use of mapping and barrier error transformations, the constraint-handling issue is converted into a stabilization one of unconstrained variable. Then, an adaptive controller involving a fuzzy logic system to approximate the unknown nonlinearity is devised to stabilize the transformed variable, resulting to a universal PPC algorithm that applies to all types of asymmetric prescribed performance requirements. To prevent such requirements from being violated due to actuator faults, a novel dynamic redundancy mechanism is incorporated to implement the performance monitoring and switching from the faulty actuator to a healthy one. Two simulation examples are presented to verify the effectiveness and superiority of the proposed scheme.
Author Guo, Ge
Zhang, Chen-Liang
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Snippet This paper investigates a prescribed performance control (PPC) problem of nonlinear strict- feedback systems subject to actuator faults. By introducing...
This article investigates a prescribed performance control (PPC) problem of nonlinear strict-feedback systems subject to actuator faults. By introducing...
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SubjectTerms Actuator faults
Actuators
Adaptive control
Algorithms
Control systems
dynamic redundancy
Fault tolerance
Fuzzy control
Fuzzy logic
fuzzy logic system
Heuristic algorithms
Monitoring
Nonlinear control
Nonlinear systems
Nonlinearity
prescribed performance control
Redundancy
Switches
Switching
Tracking errors
Vehicle dynamics
Title Prescribed Performance Fault-Tolerant Control of Nonlinear Systems Via Actuator Switching
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Volume 32
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