Adaptive Fault-Tolerant Control for Nonlinear Systems With Multiple Sensor Faults and Unknown Control Directions.

Area of Science:

• Control Theory
• Nonlinear Systems
• Fault-Tolerant Control

Background:

• Nonlinear parametric strict-feedback systems present control challenges.
• Unknown control directions and sensor faults degrade system performance.
• Adaptive fault-tolerant control is crucial for system reliability.

Purpose of the Study:

• To develop an adaptive fault-tolerant control strategy for nonlinear systems.
• To address challenges posed by multiple unknown control directions and sensor faults.
• To ensure global exponential stability despite system uncertainties.

Main Methods:

• Exploitation of a parameter separation and regrouping technique.
• Development of a region-dependent segmentation analysis method.
• Constructive design for adaptive fault-tolerant control.

Main Results:

• Successfully addressed coupled effects of unknown control directions and sensor faults.
• Achieved global exponential stability for the closed-loop system.
• Demonstrated effectiveness through simulation results.

Conclusions:

• The proposed adaptive fault-tolerant control scheme is effective.
• The method provides robust control for nonlinear systems with uncertainties.
• Ensures system stability and reliability in the presence of faults.