Multiple model adaptive algorithms for detecting and compensating sensor and actuator/surface failures in aircraft flight control systems
✍ Scribed by Peter S. Maybeck
- Publisher
- John Wiley and Sons
- Year
- 1999
- Tongue
- English
- Weight
- 236 KB
- Volume
- 9
- Category
- Article
- ISSN
- 1049-8923
No coin nor oath required. For personal study only.
✦ Synopsis
Multiple model adaptive estimation (MMAE) methods have been incorporated into the design of a #ight control system for the variable in-#ight stability test aircraft (VISTA) F-16, providing it with the capability to detect and compensate for sensor and control surface/actuator failures. The algorithm consists of a &front end' estimator for the control system, composed of a bank of parallel Kalman "lters, each matched to a speci"c hypothesis about the failure status of the system (fully functional or a failure in any one sensor or surface/actuator), and a means of blending the "lter outputs through a probability-weighted average. For multiple failures, a hierarchical structure is used to keep the number of online "lters to a minimum. To compensate for failed control surfaces or actuators, a &back end' algorithm redistributes control commands (that would normally be sent to surfaces detected as having failed) to the non-failed surfaces, accomplishing the same control action on the aircraft. Failures are demonstrated detectable in less than one second, even at low dynamic pressure (20 000 ft and 0.4 Mach), with an aircraft output nearly identical to that anticipated from a fully functional aircraft in the same environment.