Hostname: page-component-cd9895bd7-8ctnn Total loading time: 0 Render date: 2024-12-22T10:48:24.605Z Has data issue: false hasContentIssue false

Control of the horizontal position of a stratospheric airship during ascent and descent

Published online by Cambridge University Press:  27 January 2016

H. Zhou
Affiliation:
Department of Aeronautics and Astronautics, Shanghai Jiaotong University, Shanghai, China
Y. B. Wen
Affiliation:
Department of Aeronautics and Astronautics, Shanghai Jiaotong University, Shanghai, China
D. P. Duan
Affiliation:
Department of Aeronautics and Astronautics, Shanghai Jiaotong University, Shanghai, China

Abstract

A stratospheric airship flies at a working altitude of 20km when it takes off from the ground. During ascent and descent, the wind field and thermal environment are highly complex. The thermal environment affects altitude, whereas wind influences the horizontal position of the airship. At a low altitude, this horizontal position cannot be controlled by thrusts given the low thrust-to-weight ratio, especially under a large wind field. However, it may be controlled indirectly by the pitch angle during ascent and descent with a certain vertical velocity. This study therefore proposes ascending and descending schemes for a stratospheric airship based on the thermal model. In this model, altitude is determined by the net lift/weight, whereas the horizontal position is controlled by the thrust and pitch. The pitch angle is determined by ballonets and an elevator. To allocate pitch control between the ballonets and the elevator under different airspeeds, pseudo-inverse dynamics of varied weight are introduced. In horizontal position control, the method of chain allocation is then applied between a pitch angle and vectored thrust to control the position of a stratospheric airship during ascent/descent.

Type
Research Article
Copyright
Copyright © Royal Aeronautical Society 2015

Access options

Get access to the full version of this content by using one of the access options below. (Log in options will check for institutional or personal access. Content may require purchase if you do not have access.)

References

1.I. Steve, S.J. and Michael, L.The HiSentinel Airship,7th AIAA Aviation Technology, Integration and Operations Conference (ATIO),18-20 September 2007, Belfast, Northern Ireland, UK.Google Scholar
2.Takashi, K., Nakadate, M. and Okuyama, M.On-going UAV R&D at JAXA’s Aviation Program Group-Second Report with Emphasis on LTA Flight Control, 18th AIAA Lighter-Than-Air Systems Technology Conference, 4-7 May 2009, Seattle, Washington, USA.Google Scholar
3.Shi, H., Song, B.Y. and Yao, Q.P.Thermal performance of stratospheric airships during ascent and descent, J Thermophysics and Heat Transfer, 2009, 23, (4), pp 816823.CrossRefGoogle Scholar
4.Wang, Y.W. and Yang, C.X.Thermal Analysis of Stratospheric Airship in Working Process, AIAA Balloon Systems Conference 4-7 May 2009, Seattle, Washington, USA, AIAA 2009-2805.Google Scholar
5.Webb, D.C., Simonetti, P.J. and Jones, C.P.An underwater glider propelled by environmental energy, J Oceanic Engineering, 2001, 26, (4), pp 447452.CrossRefGoogle Scholar
6.Bachma, Y.R., Leonard, N.E. and Graver, J. Underwater gliders: recent developments and future applications, Proceedings of the 2004 International Symposium on Underwater Technology, 2004, pp 195200.Google Scholar
7.Li, X.J., Fang, X.D. and Dai, Q.M.Research on thermal characteristics of photovoltaic array of stratospheric airship, J Aircr, 2011, 48, (4).CrossRefGoogle Scholar
8.Dai, Q.M., Fang, X.D. and Li, X.J.Performance simulation of high altitude scientific balloons, Advances in Space Research, 2012, 49, pp 10451052.CrossRefGoogle Scholar
9.Wang, Y.W. and Yang, C.X.A comprehensive numerical model examining the thermal performance of airships, Advances in Space Research, 2011, 48, pp15151522.CrossRefGoogle Scholar
10.Karl, S. Thermal Effects in a High Altitude Airship, AIAA1984-83.Google Scholar
11.Liu, Y., Wu, Y.L. and Hu, Y.M.Autonomous dynamics-modeling and feedback control for an airship, Control Theory and Applications, 2010, 27, (8), pp 991997.Google Scholar
12.Fan, Y.H., Yu, Y.F. and Yan, J.High altitude airship altitude control system design and simulation, Science Technology and Engineering, 2011, 11, (24), pp 59575961.Google Scholar
13.Guo, J.G. and Zhou, J.Compound control system of stratospheric airship based on aircrew systems, J Astronautics, 2009, 30, (1), pp 225230.Google Scholar
14.Di, X.G., Han, F. and Yao, Y.Attitude control allocation strategy of high altitude airship based on synthetic performance optimization, J Harbin Institute of Technology, 2009, 16, (6), pp 746750.Google Scholar
15.Chen, L., Zhou, G., Yan, X.J. and Duan, D.P.Composite control strategy of stratospheric airships with moving masses, J Aircraft, 2012, 49, (3), pp 794800.CrossRefGoogle Scholar
16.Benjovengo, F.P., PaivaE.C, E.C, and Bueno, S.S.Sliding Mode Control Approaches for an Autonomous Unmanned Airship,18th AIAA Lighter-Than-Air Systems Technology Conference, Seattle, Washington, USA, 2009, AIAA 2009-2869.Google Scholar
17.Kulczycki, E.A., Joshi, S.S. and Ron, A.Towards Controller Design for Autonomous Airships Using SLC and LQR Methods, AIAA Guidance, Navigation, and Control Conference and Exhibit, 21-24 August 2006, Keystone, Colorado, USA, AIAA 2006-6778.CrossRefGoogle Scholar
18.Scott, R.W.Application of sliding mode methods to the design of reconfigurable flight control systems, Thesis, 2002, University of California Davis.Google Scholar
19.Barton, J.B. and Aaron, J.O.Reconfigurable Flight Control Using Nonlinear Dynamic Inversion with a Special Accelerometer Implementation, Guidance, Navigation, and Control Conference and Exhibit. Denver, USA, August 2000, pp 115.Google Scholar
20.Raza, S.J. and Silverthorn, J.T. Use of Pseudo-Inverse for Design of a Reconfigurable Flight Control System, Proceedings of AIAA Guidance, Navigation, and Control Conference, Snowmass, 1985, pp 349356.CrossRefGoogle Scholar
21.Johansen, T.A., Fossen, T.I. and Berge, S.P.Constrained Nonlinear Control Allocation With Singularity Avoidance Using Sequential Quadratic Programming, IEEE Transaction on Control Systems Technology, 2004, 12, (1), pp 211216.CrossRefGoogle Scholar
22.Poonamallee, V.L., Yurkovich, S. and Serrani, A.A Nonlinear Programming Approach for Control Allocation, Proceeding of American Control Conference, Boston, Massachusetts, USA, 2004, pp 16891694.Google Scholar
23.Aaron, J.O. and Barton, J.B.Enhanced NDI Strategies for Reconfigurable Flight Control, Proceedings of the American Control Conference, Anchorage, AK, USA. 2002, pp 36313636.Google Scholar
24.Zhou, Q.L., Zhang, Y.M., Rabbath, C.A. and Jacob, A.Two Reconfigurable Control Allocation Schemes for Unmanned Aerial Vehicle under Stuck Actuator Failures, AIAA Guidance, Navigation, and Control Conference, 2-5 August 2010, Toronto, Ontario, Canada, AIAA 2010-8419.CrossRefGoogle Scholar