Data-based fault-tolerant control for affine nonlinear systems with actuator faults
Chun-Hua Xie1, Guang-Hong Yang2
1College of Information Science and Engineering, Northeastern University, Shenyang 110819, PR China.
ISA Transactions
|May 16, 2016
Summary
This study introduces a novel data-based fault-tolerant control (FTC) scheme for unknown nonlinear systems facing actuator faults. The approach ensures system stability and state convergence despite unknown fault bounds.
Area of Science:
- Control Systems Engineering
- Nonlinear System Analysis
- Fault-Tolerant Control
Background:
- Actuator faults (stuck, outage, bias, loss of effectiveness) pose significant challenges in nonlinear systems.
- Existing fault-tolerant control (FTC) methods often struggle with unknown fault bounds.
Purpose of the Study:
- To develop a data-based FTC scheme for unknown nonlinear systems with unknown actuator fault bounds.
- To ensure system stability and state convergence in the presence of actuator faults.
Main Methods:
- A novel data-based FTC scheme is proposed.
- Online estimation of unknown fault bounds (stuck, bias, loss of effectiveness).
- Utilization of a state-dependent function derived from real system data for stabilization.
Main Results:
- The proposed FTC scheme effectively compensates for various actuator faults.
- All signals in the closed-loop system are uniformly bounded.
- System states converge asymptotically to zero.
- The approach is data-driven, offering an advantage over existing methods.
Conclusions:
- The developed data-based FTC scheme is effective for unknown nonlinear systems with unknown actuator fault bounds.
- The method ensures robust system performance and stability.
- Simulation examples validate the proposed approach's effectiveness.
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