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| Content Provider | IEEE Xplore Digital Library |
|---|---|
| Author | Ward, D.G. Barren, R.L. Carley, M.P. Curtis, T.J. |
| Copyright Year | 1994 |
| Description | Author affiliation: Barron Associates Inc., USA (Ward, D.G.; Barren, R.L.; Carley, M.P.; Curtis, T.J.) |
| Abstract | A self-designing flight control system (SDFCS) could provide a cost-effective means for developing controllers for new aircraft by eliminating analyst-intensive design of numerous individual controllers, each optimized for a single flight condition. Additionally, the SDFCS could improve the capabilities of existing aircraft by enhancing control performance in new flight regimes such as high angle-of-attack or post-stall maneuvers. Finally, the SDFCS could automatically reconfigure the control system to account for sudden changes such as may result from airframe and/or effector impairment(s). Rapid identification of time-varying, nonlinear plants is an important enabling technology for most SDFCS concepts. In this paper, the authors present a modified sequential least squares (MSLS) parameter identification method and compare its performance to that of standard RLS techniques using a simulated nonlinear F-16 with multiaxes thrust-vectoring (MATV) aircraft. It is shown that MSLS offers significant improvement in performance over conventional RLS parameter identification by providing: (1) a recursive estimation algorithm that penalizes noisy estimates and is less subject to ill-conditioning as ifs forgetting factor is reduced, (2) detection of airframe and effector impairments and corresponding adjustments of the algorithm settings, and (3) an intelligent supervisor that injects a minimum level of effector random activity to ensure identifiability.< |
| Starting Page | 526 |
| Ending Page | 531 |
| File Size | 473039 |
| Page Count | 6 |
| File Format | |
| ISBN | 0780318935 |
| DOI | 10.1109/NAECON.1994.332860 |
| Language | English |
| Publisher | Institute of Electrical and Electronics Engineers, Inc. (IEEE) |
| Publisher Date | 1994-05-23 |
| Access Restriction | Subscribed |
| Rights Holder | Institute of Electrical and Electronics Engineers, Inc. (IEEE) |
| Subject Keyword | Parameter estimation Automatic control Aerospace control Control systems Aircraft Resonance light scattering Recursive estimation Design optimization Least squares methods Noise reduction |
| Content Type | Text |
| Resource Type | Article |
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