×

Comparisons of adaptive fault-tolerant insensitive control methods for a class of linear systems. (English) Zbl 1407.93171

Summary: In this paper, the problem of fault-tolerant insensitive control is addressed for a class of linear time-invariant continuous-time systems against bounded time-varying actuator faults and controller gain variations. Adaptive mechanisms are developed to adjust controller gains in order to compensate for the detrimental effects of partial loss of control effectiveness and bias-actuator faults. Variations of controller gains arise from time-varying and bounded perturbations that are supposed to always exist in adaptive mechanisms. Based on the disturbed outputs of adaptive mechanisms, three different adaptive control strategies are constructed to achieve bounded stability results of the closed-loop adaptive fault-tolerant control systems in the presence of actuator faults and controller gain variations. Furthermore, comparisons of convergence boundaries of states and limits of control inputs among adaptive strategies are developed in this paper. The efficiency of the proposed adaptive control strategies and their comparisons are demonstrated by a rocket fairing structural-acoustic model.

MSC:

93C40 Adaptive control/observation systems
93B35 Sensitivity (robustness)
93C05 Linear systems in control theory
93D05 Lyapunov and other classical stabilities (Lagrange, Poisson, \(L^p, l^p\), etc.) in control theory
Full Text: DOI

References:

[1] ZhangY, JiangJ. Bibliographical review on reconfigurable fault‐tolerant control systems. Annu Rev Control. 2008;32(2):229‐252.
[2] TaoG. Direct adaptive actuator failure compensation control: a tutorial. J Control Decis. 2014;1(1):75‐101.
[3] OuyangH, LinY. Supervisory adaptive fault‐tolerant control against actuator failures with application to an aircraft. Int J Robust Nonlinear Control. 2018;28(2):536‐551. · Zbl 1390.93011
[4] AzmiH, KhosrowjerdiMJ. LMI‐based adaptive output feedback fault‐tolerant controller design for nonlinear systems. Int J Adapt Control Signal Process. 2017;31(12):1885‐1902. · Zbl 1383.93040
[5] LiD‐Y, SongY‐D, HuangD, ChenH‐N. Model‐independent adaptive fault‐tolerant output tracking control of 4WS4WD road vehicles. IEEE Trans Intell Transp Syst. 2013;14(1):169‐179.
[6] ChenC, LiuZ, ZhangY, ChenCLP, XieS. Saturated Nussbaum function based approach for robotic systems with unknown actuator dynamics. IEEE Trans Cybern. 2016;46(10):2311‐2322.
[7] XuD, DingSX, WangY, LiL. Fault‐tolerant control for wireless networked control systems with an integrated scheduler. Int J Adapt Control Signal Process. 2016;31(1):23‐38. · Zbl 1358.93070
[8] StankovićN, StoicanF, OlaruS, NiculescuS‐I. Fault tolerant control design for a class of multi‐sensor networked control systems. Int J Adapt Control Signal Process. 2016;30(2):412‐426. · Zbl 1348.94110
[9] GallehdariZ, MeskinN, KhorasaniK. Distributed reconfigurable control strategies for switching topology networked multi‐agent systems. ISA Trans. 2017;71(Pt 1):51‐67.
[10] QinJ, ZhangG, ZhengWX, KangY. Adaptive sliding mode consensus tracking for second‐order nonlinear multiagent systems with actuator faults. IEEE Trans Cybern. https://doi.org/10.1109/TCYB.2018.2805167 · doi:10.1109/TCYB.2018.2805167
[11] JinX, WangS, QinJ, ZhengWX, KangY. Adaptive fault‐tolerant consensus for a class of uncertain nonlinear second‐order multi‐agent systems with circuit implementation. IEEE Trans Circuits Syst I Reg Pap. 2018;65(7):2243‐2255. · Zbl 1468.93096
[12] YeD, ZhaoX, CaoB. Distributed adaptive fault‐tolerant consensus tracking of multi‐agent systems against time‐varying actuator faults. IET Control Theory Appl. 2016;10(5):554‐563.
[13] HuangS‐J, YangG‐H. Input‐output based fault estimation for linear systems with partially dynamic uncertainty and actuator faults. Int J Robust Nonlinear Control. 2016;26(16):3611‐3630. · Zbl 1351.93143
[14] JinX‐Z, HeY‐G, HeY‐G. Finite‐time robust fault‐tolerant control against actuator faults and saturations. IET Control Theory Appl. 2017;11(4):550‐556.
[15] JinX, QinJ, ShiY, ZhengWX. Auxiliary fault tolerant control with actuator amplitude saturation and limited rate. IEEE Trans Syst Man Cybern Syst. 2018;48(10):1816‐1825.
[16] JinX‐Z, WangS‐F, YangG‐H, YeD. Robust adaptive hierarchical insensitive tracking control of a class of leader‐follower agents. Inform Sci. 2017;406‐407:234‐247. · Zbl 1432.93076
[17] XiaJ, GaoH, LiuM, ZhuangG, ZhangB. Non‐fragile finite‐time extended dissipative control for a class of uncertain discrete time switched linear systems. J Franklin Inst. 2018;355(6):3031‐3049. · Zbl 1395.93280
[18] SaiedM, LussierB, FantoniI, ShraimH, FrancisC. Fault diagnosis and fault‐tolerant control of an octorotor UAV using motors speeds measurements. IFAC‐Pap. 2017;50(1):5263‐5268.
[19] ChenC, WenC, LiuZ, XieK, ZhangY, ChenCLP. Adaptive consensus of nonlinear multi‐agent systems with non‐identical partially unknown control directions and bounded modelling errors. IEEE Trans Autom Control. 2017;62(9):4654‐4659. · Zbl 1390.93022
[20] JinX‐Z, HeT, XiaJ‐W, WangD, GuanW. Adaptive general pinned synchronization of a class of disturbed complex networks. Commun Nonlinear Sci Numer Simul. 2019;67:658‐669. · Zbl 1508.93009
[21] XiaJ, ZhangJ, SunW, ZhangB, WangZ. Finite‐time adaptive fuzzy control for nonlinear systems with full state constraints. IEEE Trans Syst Man Cybern Syst. https://doi.org/10.1109/TSMC.2018.2854770 · doi:10.1109/TSMC.2018.2854770
[22] ChenC, WenC, LiuZ, XieK, ZhangY, ChenCLP. Adaptive asymptotic control of multivariable systems based on a one‐parameter estimation approach. Automatica. 2017;83:124‐132. · Zbl 1373.93170
[23] TangX, TaoG, WangL, StankovicJA. Robust and adaptive actuator failure compensation designs for a rocket fairing structural‐acoustic model. IEEE Trans Aerosp Electron Syst. 2004;40(4):1359‐1366.
[24] JinX, YangG, LiY. Robust fault‐tolerant controller design for linear time‐invariant systems with actuator failures: an indirect adaptive method. J Control Theory Appl. 2010;8(4):471‐478.
[25] YeD, SuL, WangJ‐L, PanY‐N. Adaptive reliable H_∞ optimization control for linear systems with time‐varying actuator fault and delays. IEEE Trans Syst Man Cybern Syst. 2017;47(7):1635‐1643.
[26] ZhaoJ, JiangB, ChowdhuryFN, ShiP. Active fault‐tolerant control for near space vehicles based on reference model adaptive sliding mode scheme. Int J Adapt Control Signal Process. 2014;28(9):765‐777. · Zbl 1327.93149
[27] RabaouiB, RodriguesM, HamdiH, BenHadj BraiekN. A model reference tracking based on an active fault tolerant control for LPV systems. Int J Adapt Control Signal Process. 2018;32(6):839‐857. · Zbl 1398.93084
[28] AbbaspourA, YenKK, ForouzannezhadP, SargolzaeiA. A neural adaptive approach for active fault‐tolerant control design in UAV. IEEE Trans Syst Man Cybern Syst. https://doi.org/10.1109/TSMC.2018.2850701 · doi:10.1109/TSMC.2018.2850701
[29] AboutalebiP, AbbaspourA, ForouzannezhadP, SargolzaeiA. A novel sensor fault detection in an unmanned quadrotor based on adaptive neural observer. J Intell Robot Syst. 2018;90(3‐4):473‐484.
[30] AbbaspourA, AboutalebiP, YenKK, SargolzaeiA. Neural adaptive observer‐based sensor and Actuator fault detection in nonlinear systems: application in UAV. ISA Trans. 2017;67:317‐329.
[31] DengC, YangG‐H. Distributed adaptive fuzzy control for nonlinear multiagent systems under directed graphs. IEEE Trans Fuzzy Syst. 2018;26(3):1356‐1366.
[32] ChangX‐H. Robust nonfragile h_∞ filtering of fuzzy systems with linear fractional parametric uncertainties. IEEE Trans Fuzzy Syst. 2012;20(6):1001‐1011.
[33] WangY, ZhangM, WilsonPA, LiuX. Adaptive neural network‐based backstepping fault tolerant control for underwater vehicles with thruster fault. Ocean Eng. 2015;110(Pt A):15‐24.
[34] ChenM, ShiP, LimC‐C. Adaptive neural fault‐tolerant control of a 3‐DOF model helicopter system. IEEE Trans Syst Man Cybern Syst. 2016;46(2):260‐270.
[35] JinX‐Z, ZhaoZ, HeY‐G. Insensitive leader‐following consensus for a class of uncertain multi‐agent systems against actuator faults. Neurocomputing. 2018;272:189‐196.
[36] LuD, ZengG, LiuJ. Non‐fragile simultaneous actuator and sensor fault‐tolerant control design for Markovian jump systems based on adaptive observer. Asian J Control. 2017;20(1):125‐134. · Zbl 1391.93075
[37] HuH, JiangB, YangH. Non‐fragile H_2 reliable control for switched linear systems with actuator faults. Signal Process. 2013;93(7):1804‐1812.
[38] KavikumarR, SakthivelR, KaviarasanB, KwonOM, Marshal AnthoniS. Non‐fragile control design for interval‐valued fuzzy systems against nonlinear actuator faults. Fuzzy Set Syst. 2018. https://doi.org/10.1016/j.fss.2018.04.004 · Zbl 1423.93195 · doi:10.1016/j.fss.2018.04.004
This reference list is based on information provided by the publisher or from digital mathematics libraries. Its items are heuristically matched to zbMATH identifiers and may contain data conversion errors. In some cases that data have been complemented/enhanced by data from zbMATH Open. This attempts to reflect the references listed in the original paper as accurately as possible without claiming completeness or a perfect matching.