Abstract
In this paper, an adaptive state feedback fault-tolerant control (FTC) scheme is proposed for a class of nonlinear systems with system uncertainties and all state sensor failures, in which each state is measured by a sensor and all state sensors may suffer from failures during system operation. By constructing an adaptive dynamic gain, the unknown sensor failures and system uncertainties can be compensated simultaneously without fault detection and identification. The compensation controller is constructed by all sensor measurements and dynamic gain. It is shown that with the proposed method, all the closed-loop signals are bounded, and the measurable tracking error can converge to an arbitrarily small residual set. An electromechanical actuator (EMA), which has been used in different aircraft subsystems, such as surface control, fuel metering unit, thrust vector control, etc., is used to demonstrate the application of the proposed scheme.
Access this chapter
Tax calculation will be finalised at checkout
Purchases are for personal use only
References
Zhang, Y.M., Jiang, J.: Bibliographical review on reconfigurable fault-tolerant control systems. Annu. Rev. Control. 32(2), 229–252 (2008)
Tao, G.: Direct adaptive actuator failure compensation control: a tutorial. J. Control Decision. 1(1), 75–101 (2014)
Jiang, J.: Design of reconfigurable control systems using Eigen structure assignments. Int. J. Control 59(2), 395–410 (1994)
Boskovic, J.D., Mehra, R.K.: A decentralized fault-tolerant control system for accommodation of failures in higher-order flight control actuators. IEEE Trans. Control Syst. Technol. 18(5), 1103–1115 (2010)
Zhang, X.D., Parisini, T., Polycarpou, M.M.: Adaptive fault-tolerant control of nonlinear uncertain systems: an information-based diagnostic approach. IEEE Trans. Autom. Control 49(8), 1259–1274 (2004)
Tao, G., Joshi, S.M., Ma, X.L.: Adaptive state feedback control and tracking control of systems with actuator failures. IEEE Trans. Autom. Control 46(1), 78–95 (2001)
Ouyang, H.P., Lin, Y.: Adaptive fault-tolerant control for actuator failures: a switching strategy. Automatica 81(6), 87–95 (2017)
Sun, C., Lin, Y.: Adaptive output feedback fault tolerant control for uncertain nonlinear systems based on actuator switching. J. Franklin Inst. (2021). https://doi.org/10.1016/j.jfranklin.2021.05.018
Li, S., Tao, G.: Feedback based adaptive compensation of control system sensor uncertainties. Automatica 45(2), 393–404 (2009)
Song, G., Tao, G.: Adaptive state-feedback control with sensor failure compensation for asymptotic output tracking. Int. J. Adapt. Control Signal Process. 33(1), 130–156 (2019)
Zhai, D., An, L., Li, X., et al.: Adaptive fault-tolerant control for nonlinear systems with multiple sensor faults and unknown control directions. IEEE Trans. Neural Netw. Learn. Syst. 29(9), 4436–4446 (2017)
Zhai, D., An, L., Dong, J., et al.: Output feedback adaptive sensor failure compensation for a class of parametric strict feedback systems. Automatica 97, 48–57 (2018)
Li, W., Yao, X., Krstic, M.: Adaptive-gain observer-based stabilization of stochastic strict-feedback systems with sensor uncertainty. Automatica 120(3), 109112 (2020)
Zhang, X., Lin, Y.: Robust adaptive tracking of uncertain nonlinear systems by output feedback. Int. J. Rob. Nonlinear Control 26(10), 2187–2200 (2016)
Wang, X., Rui, L., Shi, C., et al.: Linear extended state observer-based motion synchronization control for hybrid actuation system of more electric aircraft. Sensors 17(11), 2444 (2017)
Author information
Authors and Affiliations
Corresponding author
Editor information
Editors and Affiliations
Rights and permissions
Copyright information
© 2022 The Author(s), under exclusive license to Springer Nature Singapore Pte Ltd.
About this paper
Cite this paper
Sun, C., Lin, Y., Li, L. (2022). Adaptive State Feedback Fault-Tolerant Tracking Control for Uncertain Nonlinear Systems with Sensor Failures. In: Jia, Y., Zhang, W., Fu, Y., Yu, Z., Zheng, S. (eds) Proceedings of 2021 Chinese Intelligent Systems Conference. Lecture Notes in Electrical Engineering, vol 805. Springer, Singapore. https://doi.org/10.1007/978-981-16-6320-8_30
Download citation
DOI: https://doi.org/10.1007/978-981-16-6320-8_30
Published:
Publisher Name: Springer, Singapore
Print ISBN: 978-981-16-6319-2
Online ISBN: 978-981-16-6320-8
eBook Packages: Intelligent Technologies and RoboticsIntelligent Technologies and Robotics (R0)