Fault Detection of continuous time linear switched systems using combination of Bond Graph method and switching
1Department of Electrical and Computer Engineering Shahid Beheshti University, A.C., Tehran, Iran.
ISA Transactions
|May 14, 2019
Summary
A new fault detection (FD) scheme combines a switching observer and Bond Graph (BG) modeling for linear switched systems. This method enhances fault sensitivity and disturbance attenuation for reliable system monitoring.
Area of Science:
- Control Systems Engineering
- System Dynamics and Modeling
Background:
- Linear continuous time switched systems are prone to faults, necessitating robust detection methods.
- Existing fault detection schemes may struggle with disturbance rejection and rapid identification in switched systems.
Purpose of the Study:
- To propose a novel Fault Detection (FD) scheme for linear continuous time switched systems using the Average Dwell Time (ADT) approach.
- To integrate a switching observer with Bond Graph (BG) modeling for enhanced FD performance.
Main Methods:
- A two-stage FD system based on BG modeling, deriving compact state-space representation and Global Analytical Redundancy Relations (GARRs).
- Design of a switched observer using weighted Linear Matrix Inequality (LMI) optimization for disturbance attenuation and fault sensitivity.
- Development of Error-based Global Analytical Redundancy Relations (EGARRs) by combining observer output estimation errors with BG methods.
Main Results:
- The proposed EGARRs effectively generate residuals sensitive to faults while attenuating disturbances.
- The method demonstrated efficiency and real-time implementation capabilities in case studies involving a two-tank system and a buck converter-driven DC motor.
Conclusions:
- The novel FD scheme provides a reliable approach for detecting faults in switched linear systems under ADT.
- The integration of switching observers, BG modeling, and EGARRs offers a powerful tool for system monitoring and diagnostics.
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