Abstract
This paper deals with the problem of faulty and perturbed class of nonlinear systems. The universal approximator system is used to cope with the nonlinearities and the actuator faults. Two controllers are proposed, the first is an adaptive controller and the second is a robust controller. The proposed scheme allows to deal with the external disturbances theoretically instead of approximation. The stability is proved using Lyapunov theory. Simulation example on an inverted pendulums is carried out to show the prompt and the accuracy of the proposed strategy.
This is a preview of subscription content, log in via an institution to check access.
Access this chapter
Tax calculation will be finalised at checkout
Purchases are for personal use only
Similar content being viewed by others
References
Zhang YM, Jiang J (2008) Bibliographical review on reconfigurable fault-tolerant control systems. Ann Rev Control 32(2):229–252
Li S, Sauter D, Aubrun C, Yamé J (2008) Stability guaranteed active fault- tolerant control of networked control systems. J Control Sci Eng. https://doi.org/10.1155/2008/189064
Ye SJ, Zhang YM, Wang XM, Rabbath CA (2009) Robust fault tolerant control using on-line control re-allocation with application to aircraft. In: Proceedings of the 2009 American control conference St Louis Riverfront USA IEEE, pp 5534–5539
Fu Y, Chai T (2012) Nonlinear adaptive decoupling control based on neural networks and multiple models. Int J Innov Comput Inf Control 8(3A):1867–1878
Nguang SK, Shi P. H (2003) Fuzzy output feedback control design for nonlinear systems: an LMI approach. IEEE Trans Fuzzy Syst 11(3):331–340
Zhang D, Su H, Chu J, Wang Z (2008) Satisfactory reliable H1 guaranteed cost control with D-stability and control input constraints. IET Control Theory Appl 2(8):643–653
Fujun C, Yu C, Wu W, Fuwen Y (2008) Robust reliable H1 control in the presence of sensor failure. In: Proceedings of the 7th world congress on intelligent control and automation (WCICA), vol 8, pp 143–8
Bo Y, Fuzhong W Jianhua W (2010) Reliable output feedback for linear systems with sensor mixed faults. In: Proceedings of the 8th world congress on intelligent control and automation (WCICA), pp 509–13
Jin X-Z, Yang G-H, Ye D (2013) Insensitive reliable H1 filtering against sensor failures. Inf Sci 224:188–99
Wu H-N, Zhang H-Y (2005) Reliable mixed L2/H1 fuzzy static output feedback control for nonlinear systems with sensor faults. Automatica 41(11):1925–1932
Zhao X, Tian E, Wei J, Yuan Y (2011) Reliable H1 filter design for nonlinear networked control systems with probabilistic sensor failure. In: Proceedings of the 30th Chinese control conference (CCC), pp 4170–4175
Wang C, Dong J, Yang G, Kang H (2013) Fuzzy fault tolerant control for nonlinear systems with sensor faults. In: Proceedings of the 32nd Chinese control conference (CCC), pp 6214–6219
Sun H, Guo L (2014) Composite adaptive disturbance observer based control and back-stepping method for nonlinear system with multiple mismatched disturbances. J Franklin Inst 351(2):1027–1041
Aouaouda S, Chadli M, Boukhnifer M, Karimi HR (2014) Robust fault tolerant tracking controller design for vehicle dynamics: a descriptor approach. Mechatronics. https://doi.org/10.1016/j.mechatronics.2014.09.011
Qiu J, Ren M, Zhao Y, Guo Y (2011) Active fault-tolerant control for vehicle active suspension systems infinite-frequency domain. IET Control Theory Appl 5(13):1544–1550
Liu C-S, Jiang B (2013) H2 fault tolerant controller design for a class of nonlinear systems with a spacecraft control application. Acta Autom Sinica 39(2):188–196
Khebbache H, Tadjine M, Labiod S, Boulkroune A (2015) Adaptive sensor-fault tolerant control for a class of multivariable uncertain nonlinear systems. ISA Trans. https://doi.org/10.1016/j.isatra.2014.10.001
Castaldi P, Mimmo N, Simani S (2014) Differential geometry based active fault tolerant control for aircraft. Control Eng Pract 32:227–235
Shen Q, Jiang B, Shi P, Lim C-C (2014) Novel NNS-based fault tolerant control scheme with fault alarm. IEEE Trans Cybern 44(11):2190–2201
Bounemeur H, Chemachema M, Essounbouli N (2018) Indirect adaptive fuzzy fault-tolerant tracking control for MIMO nonlinear systems with actuator and sensor failures. ISA Trans. https://doi.org/10.1016/j.isatra.2018.04.014
Wang LX, Mendel JM (1992) Fuzzy basis functions, universal approximation and orthogonal least-squares learning. IEEE Trans Neural Netw 3(5):807–814
Wang LX (1994) Adaptive fuzzy systems and control. In: Englewood cliffs. Prentice-Hall, New Jersey
Abdelhamid B, Mouhamed C, Najib E (2017) Optimal indirect robust adaptive fuzzy control using PSO for MIMO nonlinear systems. In: international conference on electrical engineering and control applications, pp 208–224, Springer, Cham
Abdelhamid B, Mouhamed C, Najib E (2016) Indirect robust adaptive fuzzy control of uncertain two link robot manipulator. In: international conference on electrical engineering and control applications, pp 125–139, Springer, Cham
Bounemeur A, Chemachema M, Essounbouli N (2014) New approach of robust direct adaptive control of a class of SISO nonlinear systems. In: 2014 15th international conference on sciences and techniques of automatic control and computer engineering (STA), pp 725–730, IEEE
Author information
Authors and Affiliations
Corresponding author
Editor information
Editors and Affiliations
Rights and permissions
Copyright information
© 2021 Springer Nature Singapore Pte Ltd.
About this paper
Cite this paper
Bounemeur, A., Chemachema, M. (2021). Active Adaptive Fuzzy Fault-Tolerant Control for a Class of Nonlinear Systems with Actuator Faults. In: Bououden, S., Chadli, M., Ziani, S., Zelinka, I. (eds) Proceedings of the 4th International Conference on Electrical Engineering and Control Applications. ICEECA 2019. Lecture Notes in Electrical Engineering, vol 682. Springer, Singapore. https://doi.org/10.1007/978-981-15-6403-1_68
Download citation
DOI: https://doi.org/10.1007/978-981-15-6403-1_68
Published:
Publisher Name: Springer, Singapore
Print ISBN: 978-981-15-6402-4
Online ISBN: 978-981-15-6403-1
eBook Packages: Intelligent Technologies and RoboticsIntelligent Technologies and Robotics (R0)