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Hybrid Unknown Input Observer for Actuator Fault Detection and Compensation
| Content Provider | Semantic Scholar |
|---|---|
| Author | Efimov, Denis Zolghadri, Ali Raïssi, Tarek |
| Copyright Year | 2011 |
| Abstract | Abstract The problem of unknown input estimation and compensation is studied for actuated nonlinear systems with noisy measurements. The proposed solution is based on high order sliding-mode differentiation and discrete-time optimization technique. Accuracy of the proposed hybrid estimation scheme is evaluated and stability of the compensating mechanism is established. It is shown that the fault detection delay as well as the smallest detectable fault magnitude can be estimated. The proposed procedure is applied to the problem of actuators fault detection and compensation under feedback control in an aeronautical application. |
| Starting Page | 4356 |
| Ending Page | 4361 |
| Page Count | 6 |
| File Format | PDF HTM / HTML |
| DOI | 10.3182/20110828-6-IT-1002.02164 |
| Volume Number | 44 |
| Alternate Webpage(s) | https://folk.ntnu.no/skoge/prost/proceedings/ifac11-proceedings/data/html/papers/2164.pdf |
| Alternate Webpage(s) | http://www.researchgate.net/profile/Tarek_Raissi/publication/50387631_Hybrid_unknown_input_observer_for_actuator_fault_detection_and_compensation/links/09e4151474d171aa37000000.pdf |
| Alternate Webpage(s) | https://doi.org/10.3182/20110828-6-IT-1002.02164 |
| Language | English |
| Access Restriction | Open |
| Content Type | Text |
| Resource Type | Article |