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Actuator fault modeling and fault-tolerant tracking control of multi-vectored propeller aerostat

Published online by Cambridge University Press:  11 April 2022

L. Chen Open the ORCID record for L. Chen [Opens in a new window] ,
Q. Dong ,
Z.R. Yan  and
J.G. Liu
L. Chen*
Affiliation:
School of Air Transportation, Shanghai University of Engineering Science, Shanghai201620, China
Q. Dong
Affiliation:
Teaching and Research Center, Mudanjiang Medical University, Mudanjiang, P.R. China
Z.R. Yan
Affiliation:
School of Air Transportation, Shanghai University of Engineering Science, Shanghai201620, China
J.G. Liu
Affiliation:
State Key Laboratory of Robotics, Shenyang Institute of Automation, Chinese Academy of Sciences, Shenyang110016, China
*
*Corresponding author. Email: cl200432@tom.com
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Abstract

For a multi-vectored propeller aerostat with actuator faults, this study presents a fault-tolerant tracking control strategy, which includes fault modeling, observer, force estimation and tracking controller. Fault modeling considers the four types of faults of vectored propellers, namely, thrust offset, thrust efficiency loss, vectored angle offset and vectored angle stuck. Actuator faults can be determined from the fault observer, which identifies the thrust offset from the acceleration difference of the faulty aerostat with the ideal model. For tracking positions, a traditional PID controller is constructed with virtual control, compensated with the estimated fault force. The control allocation scheme is proposed to redistribute the available actuators in case faults occur. Simulation results of position tracking prove the effectiveness of the proposed strategy.

Keywords

Multi-vectored propeller aerostatFault observerFault force estimationFault-tolerant control
Type
Research Article
Information
The Aeronautical Journal , Volume 126 , Issue 1306 , December 2022 , pp. 1982 - 1996
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Copyright
© The Author(s), 2022. Published by Cambridge University Press on behalf of Royal Aeronautical Society

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References

Lee, M. The High altitude lighter than air airship efforts at the US army space and missile defense command/army forces strategic command, AIAA 2009-2852.Google Scholar
Munk, J.R. StratSat–The wireless solution, The 3rd Stratospheric Platform Systems Workshop, 2001, pp 45–51.Google Scholar
Lindstrand, P. ESA-HALE airship research and development program, The 2nd Stratospheric Platform System Workshop, 2000, pp 15–21.Google Scholar
Yokomaku, Y. Overview of stratospheric platform airship R&D program in Japan, Stratospheric Platform Systems Workshop SPSW2000, 2000, pp 15–23.Google Scholar
Smith, I., Lee, M., Fortneberry, M., et al. HiSentinel80: flight of a high altitude airship, 11th AIAA Aviation Technology, Integration, and Operations (ATIO) Conference, including the AIAA Balloon Systems Conference and 19th AIAA Lighter-Than, 2011, p 6973.Google Scholar
Yang, X.X. and Liu, D.N. Renewable power system simulation and endurance analysis for stratospheric airships, Renew Energy, 2017, 113, (12), pp 1070–1076.Google Scholar
Chen, L., Zhou, H. and Duan, D.P. Horizontal position control of stratospheric airship during ascent and descent, Aeronaut J, 2015, 119, (1214), pp 523–530.Google Scholar
Yang, Y.N. Positioning control for stratospheric satellites subject to dynamics uncertainty and input constraints, Aerosp Sci Technol, 2019, 86, pp 534–541.CrossRefGoogle Scholar
Li, X., Fang, X. and Dai, Q. Research on thermal characteristics of photovoltaic array of stratospheric airship, J Aircr, 2011, 48, (4), pp 1380–1386.CrossRefGoogle Scholar
Chen, L. and Duan, D.P. Analysis of motion characteristics of the stratospheric airship in wind field, 25th Chinese Control and Decision Conference (CCDC), Guiyang, China, May 25–27, 2013, pp 2599–2604.CrossRefGoogle Scholar
Benosman, M. and Lum, K.Y. Passive actuators’ fault-tolerant control for affine nonlinear systems, IEEE Trans Cont Syst Technol, 2010, 18, (1), pp 152–163.Google Scholar
Cieslak, J., Henry, D. and Zolghadri, A., et al. Development of an active fault-tolerant flight control strategy, J Guid Cont Dynam, 2008, 31, (1), pp 135–147.CrossRefGoogle Scholar
Fekih, A. Fault diagnosis and fault tolerant control design for aerospace systems: A bibliographical review, IEEE American Control Conference (ACC), 2014, pp 1286–1291.Google Scholar
Zhang, Y. and Jiang, J. Bibliographical review on reconfigurable fault-tolerant control system, Ann Rev Cont, 2008, 32, (2), pp 229–252.Google Scholar
Hu, Q., Xiao, B. and Zhang, Y. Adaptive backstepping based fault tolerant spacecraft attitude control under loss of actuator effectiveness, AIAA Guidance, Navigation, and Control Conference, 2010, p 8306.CrossRefGoogle Scholar
Alwi, H. and Edwards, C. Fault detection and fault-tolerant control of a civil aircraft using a sliding-mode-based scheme, IEEE Trans Cont Syst Technol, 2008, 16, (3), pp 499–510.Google Scholar
Sun, R., Liu, S. and Zhang, Y.F. A class of nonlinear system fault diagnosis algorithm based on parameter estimation, Cont Decis, 2014, 29, (03), pp 506–510.Google Scholar
Edwards, C. and Tan, C.P. Sensor fault tolerant control using sliding mode observers, Cont Eng Pract, 2006, 14, (8), pp 897–908.Google Scholar
Chen, Y.D., Shi, S.S. and Wen, Z.X. Nonlinear system fault diagnosis based on linearization technology, J Appl Sci, 2002, 20, (4), pp 365–368.Google Scholar
Boskvic, J.D. and Mehra, R.K. A multiple model-based reconfigurable flight control system design, Proceedings on the 37th IEEE Conference on Decision & Control, December 1998, IEEE, Los Alamitos, 1998.Google Scholar
Chen, W.H., Yang, J., Guo, L., et al. Disturbance observer based control and related methods: An overview, IEEE Trans Ind Electron, February 2016, 63, (2), pp 1083–1095.Google Scholar
Chen, H.T., Jiang, B. and Lu, N.Y. Data-based incipient actuator fault detection and diagnosis for three-phase PWM voltage source Inverter, Proceedings of the 35th Chinese Control Conference, July 27–29, 2016, Chengdu, China, pp 6443–6448.Google Scholar
Yu, N., Xu, X.L., Jiang, Z. Research on fault detection and diagnosis for small unmanned aerial vehicle, Proceedings of the International Conference on Environmental Science and Sustainable Energy, January 2017, pp 527–537.Google Scholar
Chen, L., Zhang, H. and Duan, D.P. Control system design of a multi-vectored thrust stratospheric airship, Proc Inst Mech Eng G J Aerosp Eng, 2014, 228, (11), pp 2045–2054.CrossRefGoogle Scholar
Chen, L., Duan, D.P. and Sun, D.S. Design of a multi-vectored thrust aerostat with a reconfigurable control system, Aerosp Sci Technol, 2016, 53, pp 95–102.Google Scholar
Chen, L., Whidborne, J.F., Dong, Q., et al. Degraded planary tracking control of an omni-directional vectored-thruster aerostat, ASCE’s J Aerosp Eng, 2019, 32, (4), p 04019026-1.Google Scholar