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Navigation and control based on integral-uncertainty observer for unmanned jet aircraft

Wang, Xinhua; Cai, Lilong

Authors

Xinhua Wang

Lilong Cai



Abstract

A nonlinear integral-uncertainty observer is presented, which can estimate the integral of measurement output signal and the uncertainty in system, synchronously. In order to be satisfied with the existing hardware computational environments and to select the parameters more easily, a simplified linear version of the nonlinear integral-uncertainty observer is also developed. The effectiveness of the proposed observers are verified through the numerical simulations and experiments: i) through the integral-uncertainty observers, the attitude angle and the uncertainties in attitude dynamics are estimated synchronously from the measurements of angular velocity, and the estimate results by the two observers are compared; ii) a control law is designed based on the observers to drive the jet aircraft to track a reference trajectory.

Journal Article Type Article
Journal IEEE Transactions on Aerospace and Electronic Systems
Print ISSN 0018-9251
Electronic ISSN 0018-9251
Publisher Institute of Electrical and Electronics Engineers
Peer Reviewed Peer Reviewed
APA6 Citation Wang, X., & Cai, L. (in press). Navigation and control based on integral-uncertainty observer for unmanned jet aircraft. IEEE Transactions on Aerospace and Electronic Systems, doi:10.1109/TAES.2017.2668078
DOI https://doi.org/10.1109/TAES.2017.2668078
Keywords Integral-uncertainty observer, jet aircraft, attitude
angle, uncertainty, synchronous estimate
Publisher URL http://ieeexplore.ieee.org/document/7851055/
Copyright Statement Copyright information regarding this work can be found at the following address: http://eprints.nottingh.../end_user_agreement.pdf
Additional Information (c) 2017 IEEE. Personal use of this material is permitted. Permission from IEEE must be obtained for all other users, including reprinting/ republishing this material for advertising or promotional purposes, creating new collective works for resale or redistribution to servers or lists, or reuse of any copyrighted components of this work in other works.

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PDF of the author's accepted manuscript. Wang navigation.pdf (9.3 Mb)
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Copyright Statement
Copyright information regarding this work can be found at the following address: http://eprints.nottingham.ac.uk/end_user_agreement.pdf





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