Data-Driven Model-Free Adaptive Fault-Tolerant Control for a Class of Discrete-Time Systems

The fault-tolerant control problem is studied for a class of discrete-time systems subjected to sensor fault. The data-based fault detection method is constructed to detect sensor fault, which avoids obtaining residual signal by designing fault detection observer. When the fault is detected, a discrete-time observer is built for estimating sensor fault. The fault estimation is employed to realize controller reconstruction. For the purpose of obtaining better control performance, a model-free adaptive fault-tolerant controller is developed by employing more past control information. Accordingly, the flexibility and adaptability of the fault-tolerant controller are improved by introducing more adjustable parameters. Finally, the developed method is validated to be effective by a simulation example.

Automated summary

This study focuses on a class of discrete-time systems subjected to sensor fault. A data-based fault detection method and a discrete-time observer are constructed to detect and estimate sensor fault, respectively. Controller reconstruction is realized through fault estimation, resulting in a model-free adaptive fault-tolerant controller with improved flexibility, adaptability, and control performance.