Distributed fault diagnosis observer for multi-agent system against actuator and sensor faults

doi:10.23919/JSEE.2023.000047

Journal of Systems Engineering and Electronics ›› 2023, Vol. 34 ›› Issue (3): 766-774.doi: 10.23919/JSEE.2023.000047

• CONTROL THEORY AND APPLICATION • Previous Articles

Distributed fault diagnosis observer for multi-agent system against actuator and sensor faults

Zhengyu YE(), Bin JIANG(), Yuehua CHENG(), Ziquan YU(), Yang YANG()

¹ College of Automation Engineering, Nanjing University of Aeronautics and Astronautics, Nanjing 210016, China

Received:2022-03-02 Online:2023-06-15 Published:2023-06-30
Contact: Bin JIANG E-mail:kasoll076@outlook.com;binjiang@nuaa.edu.cn;chengyuehua@nuaa.edu.cn;yuziquan@nuaa.edu.cn;youngy@nuaa.edu.cn
About author:
YE Zhengyu was born in 1995. He received his M.S. degree from Nanjing University of Aeronautics and Astronautics, Nanjing, China, in 2017, where he is currently pursuing his Ph.D. degree in control science and engineering. His research interests include sensor fault diagnosis and fault tolerant control of multi-UAV systems. E-mail: kasoll076@outlook.com

JIANG Bin was born in 1966. He received his Ph.D. degree in automatic control from Northeastern University, Shenyang, China, in 1995. He has been a post-doctoral fellow or a research fellow in Singapore, France, and USA, and a visiting professor in Canada. He is currently the chair professor of the Cheung Kong Scholar Program, Ministry of Education, and the vice president of the Nanjing University of Aeronautics and Astronautics, Nanjing, China. His research interests include fault diagnosis and fault-tolerant control and their applications. E-mail: binjiang@nuaa.edu.cn

CHENG Yuehua was born in 1977. She received her Ph.D. degree from Nanjing University of Aeronautics and Astronautics, Nanjing, China, in 2013. She is a professor in Nanjing University of Aeronautics and Astronautics. Her research interests include fault tolerant control and life prediction for satellite attitude control systems. E-mail: chengyuehua@nuaa.edu.cn

YU Ziquan was born in 1989. He received his Ph.D. degree in control science and engineering from Northwestern Polytechnical University in 2019. From 2017 to 2019, he was a joint Ph.D. student supported by the China Scholarship Council with the Department of Mechanical, Industrial and Aerospace Engineering, Concordia University, Montreal, QC, Canada. He is currently with the College of Automation Engineering, Nanjing University of Aeronautics and Astronautics, Nanjing. His current research interests include fault-tolerant cooperative control of safety-critical systems, and guidance, navigation, and control of unmanned aerial vehicles. E-mail: yuziquan@nuaa.edu.cn

YANG Yang was born in 1998. He received his B.E. degree in automotive engineering in 2020 from Hefei University of Technology and he is pursuing his master ’s degree in Nanjing University of Aeronautics and Astronautics. His research interests include distributed fault detection and diagnosis of multi-UAVs. E-mail: youngy@nuaa.edu.cn
Supported by:
This work was supported by the National Natural Science Foundation of China (62020106003;62003162), 111 project (B20007), the Natural Science Foundation of Jiangsu Province of China (BK20200416), and the China Postdoctoral Science Foundation (2020TQ0151;2020M681590)

Abstract

Abstract:

Component failures can cause multi-agent system (MAS) performance degradation and even disasters, which provokes the demand of the fault diagnosis method. A distributed sliding mode observer-based fault diagnosis method for MAS is developed in presence of actuator and sensor faults. Firstly, the actuator and sensor faults are extended to the system state, and the system is transformed into a descriptor system form. Then, a sliding mode-based distributed unknown input observer is proposed to estimate the extended state. Furthermore, adaptive laws are introduced to adjust the observer parameters. Finally, the effectiveness of the proposed method is demonstrated with numerical simulations.

Key words: multi-agent system (MAS), sensor fault, actuator fault, unknown input observer, sliding mode, fault diagnosis

Zhengyu YE, Bin JIANG, Yuehua CHENG, Ziquan YU, Yang YANG. Distributed fault diagnosis observer for multi-agent system against actuator and sensor faults[J]. Journal of Systems Engineering and Electronics, 2023, 34(3): 766-774.

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References 38

1	JIN X Z, LU S Y, DENG C, et al Distributed adaptive security consensus control for a class of multi-agent systems under network decay and intermittent attacks. Information Sciences, 2021, 547, 88- 102. doi: 10.1016/j.ins.2020.08.013
2	YU Z Q, ZHANG Y M, JIANG B PID-type fault-tolerant prescribed performance control of fixed-wing UAV. Journal of Systems Engineering and Electronics, 2021, 32 (5): 1053- 1061. doi: 10.23919/JSEE.2021.000090
3	SHAKHATREH H, SAWALMEH A H, AL-FUQAHA A, et al Unmanned aerial vehicles (UAVs): a survey on civil applications and key research challenges. IEEE Access, 2019, 7, 48572- 48634. doi: 10.1109/ACCESS.2019.2909530
4	WANG T, HUANG P F, DONG G Q Cooperative persistent surveillance on a road network by multi-UGVs with detection ability. IEEE Trans. on Industrial Electronics, 2021, 69 (11): 11468- 11478.
5	HU J Y, BHOWMICK P, JANG I, et al A decentralized cluster formation containment framework for multirobot systems. IEEE Trans. on Robotics, 2021, 37 (6): 1936- 1955. doi: 10.1109/TRO.2021.3071615
6	KADA B, KHALID M, SHAIKH M S Distributed cooperative control of autonomous multi-agent UAV systems using smooth control. Journal of Systems Engineering and Electronics, 2020, 31 (6): 1297- 1307. doi: 10.23919/JSEE.2020.000100
7	CHENG W L, ZHANG K, JIANG B, et al Fixed-time faulttolerant formation control for heterogeneous multi-agent systems with parameter uncertainties and disturbances. IEEE Trans. on Circuits and Systems I: Regular Papers, 2021, 68 (5): 2121- 2133. doi: 10.1109/TCSI.2021.3061386
8	CHENG W L, JIANG B, ZHANG K, et al Robust finite-time cooperative formation control of UGV-UAV with model uncertainties and actuator faults. Journal of the Franklin Institute, 2021, 358 (17): 8811- 8837. doi: 10.1016/j.jfranklin.2021.08.038
9	YANG P, MA B, DONG Y, et al Fault-tolerant consensus of leader-following multi-agent systems based on distributed fault estimation observer. International Journal of Control, Automation and Systems, 2018, 16 (5): 2354- 2362. doi: 10.1007/s12555-017-0223-y
10	XU X L, LI Z T, GAO L X Distributed adaptive tracking control for multi-agent systems with uncertain dynamics. Nonlinear Dynamics, 2017, 90 (4): 2729- 2744. doi: 10.1007/s11071-017-3833-2
11	BOEM F, GALLO A J, RAIMONDO D M, et al Distributed fault-tolerant control of large-scale systems: an active fault diagnosis approach. IEEE Trans. on Control of Network Systems, 2019, 7 (1): 288- 301.
12	ZHANG K, JIANG B, CHEN M, et al Distributed fault estimation and fault-tolerant control of interconnected systems. IEEE Trans. on Cybernetics, 2019, 51 (3): 1230- 1240.
13	AMIN A A, HASANA K M A review of fault tolerant control systems: advancements and applications. Measurement, 2019, 143, 58- 68. doi: 10.1016/j.measurement.2019.04.083
14	LI D L, WANG Y, WANG J X, et al Recent advances in sensor fault diagnosis: a review. Sensors and Actuators A: Physical, 2020, 309, 111990. doi: 10.1016/j.sna.2020.111990
15	YU Y, ZHAO Y Z, WANG B, et al Current sensor fault diagnosis and tolerant control for VSI-based induction motor drives. IEEE Trans. on Power Electronics, 2017, 33 (5): 4238- 4248.
16	WU Y K, JIANG B, WANG Y L Incipient winding fault detection and diagnosis for squirrel-cage induction motors equipped on CRH trains. ISA Transactions, 2020, 99, 488- 495. doi: 10.1016/j.isatra.2019.09.020
17	SHAHNAZARI H, MHASKAR P Distributed fault diagnosis for networked nonlinear uncertain systems. Computers & Chemical Engineering, 2018, 115, 22- 33.
18	LI J, PAN K P, SU Q Y Sensor fault detection and estimation for switched power electronics systems based on sliding mode observer. Applied Mathematics and Computation, 2019, 353, 282- 294. doi: 10.1016/j.amc.2019.02.010
19	ZHANG J, LI S, XIANG Z R Adaptive fuzzy finite-time fault tolerant control for switched nonlinear large-scale systems with actuator and sensor faults. Journal of the Franklin Institute, 2020, 357 (16): 11629- 11644. doi: 10.1016/j.jfranklin.2019.09.005
20	DU D S Fault detection for discrete-time linear systems based on descriptor observer approach. Applied Mathematics and Computation, 2017, 293, 575- 585. doi: 10.1016/j.amc.2016.08.052
21	CHEN T R, ZHU Z J, WANG C, et al Rapid sensor fault diagnosis for a class of nonlinear systems via deterministic learning. IEEE Trans. on Neural Networks and Learning Systems, 2022, 33 (12): 7743- 7754. doi: 10.1109/TNNLS.2021.3087533
22	LIU M, SHI P Sensor fault estimation and tolerant control for Itô stochastic systems with a descriptor sliding mode approach. Automatica, 2013, 49 (5): 1242- 1250. doi: 10.1016/j.automatica.2013.01.030
23	GAO Z W, DING S X Sensor fault reconstruction and sensor compensation for a class of nonlinear state-space systems via a descriptor system approach. IET Control Theory & Applications, 2007, 1 (3): 578- 585.
24	LI X H, AHN C K, LU D K, et al Robust simultaneous fault estimation and nonfragile output feedback fault-tolerant control for Markovian jump systems. IEEE Trans. on Systems, Man, and Cybernetics, 2018, 49 (9): 1769- 1776.
25	WU Y K, JIANG B, LU N Y A descriptor system approach for estimation of incipient faults with application to high-speed railway traction devices. IEEE Trans. on Systems, Man, and Cybernetics: Systems, 2017, 49 (10): 2108- 2118.
26	GOMEZ-PENATE S, VALENCIA-PALOMO G, LOPEZESTRADA F R, et al Sensor fault diagnosis based on a $ {{\cal{H}}_\infty }$ sliding mode and unknown input observer for Takagi-Sugeno systems with uncertain premise variables . Asian Journal of Control, 2019, 21 (1): 339- 353. doi: 10.1002/asjc.1913
27	YIN S, GAO H J, QIU J B, et al Descriptor reduced-order sliding mode observers design for switched systems with sensor and actuator faults. Automatica, 2017, 76, 282- 292. doi: 10.1016/j.automatica.2016.10.025
28	GAO Z W, WANG H Descriptor observer approaches for multivariable systems with measurement noises and application in fault detection and diagnosis. Systems & Control Letters, 2006, 55 (4): 304- 313.
29	ZHU J W, YANG G H, ZHANG W A Cooperative fault tolerant tracking control for multiagent systems: an intermediate estimator-based approach. IEEE Trans. on Cybernetics, 2018, 48 (10): 2972- 2980. doi: 10.1109/TCYB.2017.2753383
30	HANG J, LIU X H, GAO X W, et al Intermediate observerbased robust distributed fault estimation for nonlinear multiagent systems with directed graphs. IEEE Trans. on Industrial Informatics, 2019, 16 (12): 7426- 7436.
31	MA H J, XU L Cooperative fault diagnosis for uncertain nonlinear multiagent systems based on adaptive distributed fuzzy estimators. IEEE Trans. on Cybernetics, 2018, 50 (4): 1739- 1751.
32	QIN L G, HE X, YAN R, et al Distributed sensor fault diagnosis for a formation of multi-vehicle systems. Journal of the Franklin Institute, 2019, 356 (2): 791- 818. doi: 10.1016/j.jfranklin.2017.11.020
33	ZHOU D H, QIN L G, HE X, et al Distributed sensor fault diagnosis for a formation system with unknown constant time delays. Science China Information Sciences, 2018, 61, 112205. doi: 10.1007/s11432-017-9309-3
34	BALAKRISHNAN R, RANGANATHAN K. A textbook of graph theory. Heidelberg: Springer, 2012.
35	ZHAN X Z. Matrix theory. Rhode Island: American Mathematical Society, 2013.
36	NIU Y, LAM J, WANG X, et al Observer-based sliding mode control for nonlinear state-delayed systems. International Journal of Systems Science, 2004, 35 (2): 139- 150. doi: 10.1080/00207720410001671732
37	WEI Q L, WANG X, ZHONG X N, et al Consensus control of leader-following multi-agent systems in directed topology with heterogeneous disturbances. IEEE/CAA Journal of Automatica Sinica, 2021, 8 (2): 423- 431. doi: 10.1109/JAS.2021.1003838
38	GAO Z R, LI C D, WANG X, et al Finite-time consensus of linear multi-agent system via distributed event-triggered strategy. Journal of the Franklin Institute, 2018, 355 (3): 1338- 1350. doi: 10.1016/j.jfranklin.2017.12.026

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[3]	Narin JEERANANTASIN, Suksun NUNGAM. Sliding mode control of three-phase AC/DC converters using exponential rate reaching law [J]. Journal of Systems Engineering and Electronics, 2022, 33(1): 210-221.
[4]	Yuwei CUI, Aijun LI, Xianfeng MENG. A fault-tolerant control method for distributed flight control system facing wing damage [J]. Journal of Systems Engineering and Electronics, 2021, 32(5): 1041-1052.
[5]	Ziquan YU, Youmin ZHANG, Bin JIANG. PID-type fault-tolerant prescribed performance control of fixed-wing UAV [J]. Journal of Systems Engineering and Electronics, 2021, 32(5): 1053-1061.
[6]	Fuhui GUO, Pingli LU. Fast self-adapting high-order sliding mode control for a class of uncertain nonlinear systems [J]. Journal of Systems Engineering and Electronics, 2021, 32(3): 690-699.
[7]	Zongxing LI, Rui ZHANG. Time-varying sliding mode control of missile based on suboptimal method [J]. Journal of Systems Engineering and Electronics, 2021, 32(3): 700-710.
[8]	Wei LI, Qiuqiu WEN, Lei HE, Qunli XIA. Three-dimensional impact angle constrained distributed cooperative guidance law for anti-ship missiles [J]. Journal of Systems Engineering and Electronics, 2021, 32(2): 447-459.
[9]	Guangbin CAI, Yushan ZHAO, Yang ZHAO, Changhua HU. Consensus of multi-vehicle cooperative attack with stochastic multi-hop time-varying delay and actuator fault [J]. Journal of Systems Engineering and Electronics, 2021, 32(1): 228-242.
[10]	Xia WU, Yan LI, Yongjian SUN, Alei CHEN, Jianwen CHEN, Jianchao MA, Hao CHEN. Investigation of MAS structure and intelligent⁺ information processing mechanism of hypersonic target detection and recognition system [J]. Journal of Systems Engineering and Electronics, 2020, 31(6): 1105-1115.
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[12]	Vedadi Moghaddam TAHMINEH, Yadavar Nikravesh SEYYED KAMALEDDIN, Azam Khosravi MOHAMMAD. Constrained sliding mode control of nonlinear fractional order input affine systems [J]. Journal of Systems Engineering and Electronics, 2019, 30(5): 995-1006.
[13]	Xiaogang QI, Bingchun WANG, Lifang LIU. Fault diagnosis based on dial-test data in datacenter networks [J]. Journal of Systems Engineering and Electronics, 2019, 30(5): 1035-1043.
[14]	Haibo LIU, Heping WANG, Junlei SUN. Attitude control for QTR using exponential nonsingular terminal sliding mode control [J]. Journal of Systems Engineering and Electronics, 2019, 30(1): 191-200.
[15]	Jianguo GUO, Yuchao LIU, Jun ZHOU. Integral terminal sliding mode control for nonlinear systems [J]. Journal of Systems Engineering and Electronics, 2018, 29(3): 571-579.

Distributed fault diagnosis observer for multi-agent system against actuator and sensor faults

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