Adaptive sensor-fault tolerant control for a class of multivariable uncertain nonlinear systems.

Area of Science:

• Control Systems Engineering
• Nonlinear System Analysis
• Fault Tolerance

Background:

• Multiple-input multiple-output (MIMO) systems are susceptible to sensor faults and external disturbances.
• Existing fault tolerant control methods may not adequately address complex nonlinear dynamics and various sensor fault types.

Purpose of the Study:

• To develop an active fault tolerant control (AFTC) strategy for uncertain nonlinear MIMO systems.
• To address additive (bias, drift, loss of accuracy) and multiplicative (loss of effectiveness) sensor faults.
• To enhance system robustness against external disturbances and nonlinearities induced by faults.

Main Methods:

• Utilized the backstepping technique to design a novel adaptive controller.
• Employed robust adaptive schemes for on-line estimation and compensation of sensor faults and system uncertainties.
• Performed rigorous stability analysis using a Lyapunov approach.

Main Results:

• Successfully developed an adaptive backstepping-based AFTC scheme.
• Demonstrated the capability to tolerate multiple additive and multiplicative sensor faults.
• Validated the controller's effectiveness through two simulation examples, confirming closed-loop system stability.

Conclusions:

• The proposed AFTC method provides a robust solution for uncertain nonlinear MIMO systems facing sensor faults.
• The adaptive backstepping approach effectively estimates and compensates for faults and uncertainties, ensuring system stability.
• Simulation results confirm the practical applicability and effectiveness of the developed fault tolerant control strategy.