Robust fault estimation and isolation for a descriptor LPV system with disturbance
| Autor: | Yandong Hou, Zhengquan Chen, Lu Han |
|---|---|
| Rok vydání: | 2021 |
| Předmět: |
0209 industrial biotechnology
Correctness Computer Networks and Communications Computer science Applied Mathematics Iterative learning control MIMO Estimator 02 engineering and technology Observer (special relativity) Residual Actuator fault 020901 industrial engineering & automation Control and Systems Engineering Control theory Signal Processing 0202 electrical engineering electronic engineering information engineering 020201 artificial intelligence & image processing Actuator |
| Zdroj: | Journal of the Franklin Institute. 358:1635-1655 |
| ISSN: | 0016-0032 |
| Popis: | This paper proposes a new modus of fault estimation and isolation, which based on fault estimation filter using iterative leaning scheme combine with robust observer for descriptor linear parameter varying (D-LPV) systems with disturbance. According to the p actuators of the D-LPV multi-input multiple-output (MIMO) system, we designed p robust isolation observers and fault estimation filters. Firstly, assuming that the j t h actuator fails, the corresponding j t h robust isolation observer is designed by using the H ∞ method, so that the residual signal is only sensitive to the j t h actuator fault, but robust to disturbance and remaining faults. Next, by comparing the norm of residual signal with threshold of the designed filter, we can judge whether to start fault estimation filter. Then, iterative learning fault estimator use the filtered residual signal to modify the estimated value. Thus, this method of fault estimation and isolation is realized. Finally, the effectiveness and correctness of this method are verified in a simulation experiment. |
| Databáze: | OpenAIRE |
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