Anti-Disturbance Intermediate Observer-Based Fault Estimation and Fault-Tolerant Control for Markovian Jump Systems.

Area of Science:

• Control Systems Engineering
• System Dynamics
• Fault Diagnosis

Background:

• Markovian jump systems (MJSs) are complex dynamic systems subject to abrupt changes.
• Fault estimation (FE) and fault-tolerant control (FTC) are crucial for MJS reliability.
• Existing methods often struggle with integrated disturbance handling.

Purpose of the Study:

• To develop an anti-disturbance fault estimation and fault-tolerant control strategy for MJSs.
• To propose a novel intermediate observer (IO) for enhanced state, fault, and disturbance estimation.
• To design a comprehensive FTC scheme for system stabilization under significant faults and disturbances.

Main Methods:

• Reformulating the MJS with integrated sensor faults and disturbances.
• Designing an intermediate observer (IO) that avoids equality constraints and derivative information.
• Developing a fault-tolerant controller and output compensation mechanism.

Main Results:

• The proposed IO simplifies implementation and effectively estimates system states, faults, and disturbances.
• Disturbance handling is achieved without relying on traditional sliding mode, H-infinity, or decoupling methods.
• The comprehensive FTC scheme successfully stabilizes the system even with large faults and disturbances.

Conclusions:

• The developed intermediate observer and FTC scheme offer an effective and implementable solution for MJSs.
• This approach provides robust performance against faults and disturbances in dynamic systems.
• The method's efficacy is validated through application to the F-404 aircraft engine system.