Integrated fault detection and control design for continuous-time switched systems under asynchronous switching.
Youssef Eddoukali1, Abdellah Benzaouia1, Mustapha Ouladsine2
1LAEPT, Physics Department Faculty of Sciences Semlalia, Cadi Ayyad University, P.B.2390, Marrakech, Morocco.
ISA Transactions
|October 27, 2018
Summary
This study presents an integrated fault detection and control design for switched systems with asynchronous switching. The method ensures system stability and effective fault detection using LMIs.
Area of Science:
- Control Systems Engineering
- Nonlinear Systems Analysis
- Fault Detection and Diagnosis
Background:
- Switched systems are prevalent in various engineering applications.
- Asynchronous switching poses challenges for traditional control and fault detection methods.
- Integrated fault detection and control design (IFDCD) is crucial for system reliability.
Purpose of the Study:
- To develop an IFDCD methodology for continuous-time switched systems with asynchronous switching.
- To design a robust observer and switched controllers for asymptotic stability.
- To address the asynchronous nature of the designed controller/detector relative to the system.
Main Methods:
- Utilizing piecewise Lyapunov functions for stability analysis.
- Applying H-infinity control techniques for performance guarantees.
- Employing the average dwell-time approach to handle switching dynamics.
- Formulating the problem solution via linear matrix inequalities (LMIs).
Main Results:
- An observer and switched controllers are designed to achieve asymptotic stability in the closed-loop system.
- The proposed method effectively handles asynchronous switching between system modes and controllers/detectors.
- The solvability of the IFDCD problem is demonstrated through LMIs.
Conclusions:
- The developed IFDCD method is effective for continuous-time switched systems with asynchronous switching.
- The approach is validated through case studies on a boost converter and a highly maneuverable aircraft.
- This work provides a robust framework for fault detection and control in complex dynamic systems.
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