Adaptive sliding mode backstepping control for near space vehicles considering engine faults

doi:10.21629/JSEE.2018.02.15

Journal of Systems Engineering and Electronics ›› 2018, Vol. 29 ›› Issue (2): 343-351.doi: 10.21629/JSEE.2018.02.15

• Control Theory and Application • Previous Articles Next Articles

Adaptive sliding mode backstepping control for near space vehicles considering engine faults

Jing ZHAO^1,^4,⁶(), Bin JIANG²(), Fei XIE^3,^4,*(), Zhifeng GAO¹(), Yufei XU⁵()

¹ College of Automation Engineering, Nanjing University of Posts and Telecommunications, Nanjing 210023, China
² College of Automation Engineering, Nanjing University of Aeronautics and Astronautics, Nanjing 210016, China
³ School of Electrical and Automation Engineering, Nanjing Normal University, Nanjing 210046, China
⁴ Jiangsu Province 3D Printing Equipment and Manufacturing Key Lab, Nanjing 210042, China
⁵ Shanghai Institute of Satellite Engineering, Shanghai 200240, China
⁶ Jiangsu Engineering Laboratory for Internet of Things and Intelligent Robots, Nanjing 210023, China

Received:2016-11-28 Online:2018-04-26 Published:2018-04-27
Contact: Fei XIE E-mail:zhaojing@njupt.edu.cn;binjiang@nuaa.edu.cn;xiefei@njnu.edu.cn;gaozhifeng@njupt.edu.cn;xyfnuaa@126.com
About author:ZHAO Jing was born in 1983. She joined College of Automation, Nanjing University of Posts and Telecommunications in 2014. Her research interests include robust control, fault diagnosis, fault tolerant control and their applications in aeronautics and astronautics. E-mail: zhaojing@njupt.edu.cn|JIANG Bin was born in 1966. He joined College of Automation, Nanjing University of Aeronautics and Astronautics. His research interests include fault diagnosis and fault tolerant control and their applications. E-mail: binjiang@nuaa.edu.cn|XIE Fie was born in 1983. He joined School of Electrical and Automation Engineering, Nanjing Normal University in 2014. His current research focuses on navigation, guidance and control technology, GNSS jamming tolerant and fault diagnosis. E-mail: xiefei@njnu.edu.cn|GAO Zhifeng was born in 1980. He joined College of Automation, Nanjing University of Posts and Telecommunications in 2011. Currently he is an associate professor. His research interests include robust control, fault diagnosis, fault tolerant control and their applications in aeronautics and astronautics. E-mail: gaozhifeng@njupt.edu.cn|XU Yufei was born in 1984. She is currently an engineer with the Shanghai Institute of Satellite Engineering. Her research interests include attitude control and fault tolerant control. E-mail: xyfnuaa@126.com
Supported by:
the National Natural Science Foundation of China(61403210);the National Natural Science Foundation of China(61601228);the National Natural Science Foundation of China(61603191);the Natural Science Foundation of Jiangsu(BK20161021);the Nanjing University of Posts and Telecommunications Science Foundation(NY214173);the Open Program of Jiangsu Key Laboratory of 3D Printing Equipment and Manufacturing(3DL201607);This work was supported by the National Natural Science Foundation of China (61403210; 61601228; 61603191), the Natural Science Foundation of Jiangsu (BK20161021), the Nanjing University of Posts and Telecommunications Science Foundation (NY214173), and the Open Program of Jiangsu Key Laboratory of 3D Printing Equipment and Manufacturing (3DL201607)

Abstract

Abstract:

A fault tolerant control methodology based adaptive sliding mode (ASM) backstepping is proposed for near space vehicle (NSV) attitude control system under engine faults. The proposed scheme combined adaptive backstepping with the sliding mode control strategy could guarantee the system's stability and track desired signals under external disturbances and engine faults. Firstly, attitude mode description and the engine faulty model are given. Secondly, a nominal control law is designed. Thirdly, a sliding mode observer is given later in order to estimate both the information of engine faults and external disturbances. An adaptive sliding mode technology based on the previous nominal control law is developed via updating faulty parameters. Finally, analyze the system's fault-tolerant performance and reliability through experiment simulation, which verifies the proposed design of fault-tolerant control can tolerate engine faults, as well as the strong robustness for external disturbance.

Key words: fault tolerant control, adaptive sliding mode (ASM), engine fault, near space vehicle (NSV)

Jing ZHAO, Bin JIANG, Fei XIE, Zhifeng GAO, Yufei XU. Adaptive sliding mode backstepping control for near space vehicles considering engine faults[J]. Journal of Systems Engineering and Electronics, 2018, 29(2): 343-351.

Figures/Tables 8

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Adaptive sliding mode backstepping control for near space vehicles considering engine faults

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