NDLI: Robust autopilot design for morphing guided aerial bombs based on guardian map approach

Content Provider	IEEE Xplore Digital Library
Author	Weiming Li Hongyang Bai Ruisheng Sun Xiaozhong Xue
Copyright Year	2014
Description	Author affiliation: Sch. of Energy & Power Eng., Nanjing Univ. of Sci. & Technol., Nanjing, China (Hongyang Bai) \|\| Shandong Aerosp. Electro-Technol. Inst., Yaitai, China (Weiming Li; Ruisheng Sun; Xiaozhong Xue)
Abstract	In this paper, a new approach to gain-scheduling of robust autopilot was proposed for morphing guided aerial bombs in a bank-to-turn (BTT) mode. The nonlinear dynamic model was established and anticipant performance criterions were given firstly. Feedback robust BTT autopilot of 3-channel was designed independently for selected operating points in order to restrain cross-channel coupling disturbances and aerodynamic perturbations. Then, the sweepback and mach number were selected to schedule the control gains iteratively based on guardian maps for ensuring all closed-loop poles to locate inside the desired region. The method proposed here attempted to extend the performance of an initial design obtained for a single arbitrary point to the whole linearized domain while maintaining expected stability over the entire range of sweepback. We carried out a number of time- and frequency-domain analysis procedures on the resulting designs and assessed the performance on a nonlinear simulation. The numerical simulations showed that the method proposed applied on the autopilot design and had better tracking performance.
Starting Page	813
Ending Page	818
File Size	213545
Page Count	6
File Format	PDF
ISBN	9781479947003
e-ISBN	9781479946990
DOI	10.1109/CGNCC.2014.7007314
Language	English
Publisher	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Publisher Date	2014-08-08
Publisher Place	China
Access Restriction	Subscribed
Rights Holder	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Subject Keyword	Couplings Weapons Aerodynamics Educational institutions Robustness Stability analysis Gain
Content Type	Text
Resource Type	Article

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