Fixed-Time Fault Estimation and Prescribed Performance Fault-Tolerant Control for Interconnected Systems
IEEE Transactions on Cybernetics
|July 15, 2022
Summary
This study presents a fixed-time fault estimation and fault-tolerant control (FTC) strategy for interconnected systems. The method ensures exact fault estimation and guarantees tracking error convergence in a fixed time, regardless of initial conditions.
Area of Science:
- Control Systems Engineering
- Fault Diagnosis and Fault-Tolerant Control
- Nonlinear Systems Analysis
Background:
- Interconnected systems are susceptible to actuator faults, which can be multiplicative or additive.
- Accurate fault estimation and robust control are crucial for system reliability and performance.
- Existing methods may lack fixed-time convergence or impose restrictions on initial conditions.
Purpose of the Study:
- To develop a fixed-time fault estimation observer for interconnected systems with actuator faults.
- To design an active fault-tolerant control (AFTC) strategy ensuring fixed-time tracking error convergence.
- To address both multiplicative and additive actuator faults while preserving system performance.
Main Methods:
- Utilizing bilimit homogeneous theory for exact fault estimation in a fixed time.
- Employing a prescribed performance function (PPF) for trajectory tracking error criteria.
- Incorporating a recursive fast terminal sliding-mode technique for active fault-tolerant control.
Main Results:
- The proposed fault estimation observer achieves exact system state and fault information in a fixed time, independent of initial errors.
- The AFTC strategy effectively eliminates fault influence, guaranteeing fixed-time convergence of tracking errors without initial condition restrictions.
- Comparative simulations demonstrate the feasibility and superiority of the proposed strategy.
Conclusions:
- The developed approach provides effective fixed-time fault estimation and fault-tolerant control for interconnected systems with actuator faults.
- The strategy ensures desirable transient and steady-state responses while maintaining robustness against system uncertainties.
- This research contributes to enhanced safety and reliability in complex control systems.
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