Adaptive Decentralized Fault-tolerant Control for Uncertain Nonlinear Time-delay Large Scale Systems
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摘要: 针对一类不确定非线性时滞关联大系统，提出了一种基于时滞代换的自适应分散容错控制方案.该方案采用模糊逻辑系统作为逼近器，提出了时滞代换的方法处理系统未知时滞关联函数，并结合自适应技术处理代换误差和逼近误差.与现有方法相比，本文方法能在线补偿所有四种类型的执行器故障，系统控制器的设计也不再依赖于时滞假设条件，同时还可保证闭环系统所有信号全局一致最终有界.仿真结果进一步验证了本文方法的有效性.Abstract: In this paper, a delay replacement based adaptive decentralized fault-tolerant control method is proposed for a class of uncertain nonlinear time-delay large-scale systems. With fuzzy logic systems as approximators, a novel delay replacement technique is proposed to deal with the unknown delayed nonlinear interconnection functions, and adaptive technique is combined to deal with the errors of replacement and approximation. Compared with the existing results, all of the four types of actuator faults can be compensated for online, the controller design is no longer depended on the assumptions of the time-delays, and the globally uniformly ultimately boundedness of the closed-loop system is guaranteed. Simulation results are provided to show the effectiveness of the control approach.
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[1] Choi J Y, Farrell J A. Adaptive observer backstepping control using neural networks. IEEE Transactions on Neural Networks, 2001, 12(5): 1103-1112 doi: 10.1109/72.950139 [2] Wang C, Hill D J, Ge S S, Chen G R. An ISS-modular approach for adaptive neural control of pure-feedback systems. Automatica, 2006, 42(5): 723-731 doi: 10.1016/j.automatica.2006.01.004 [3] Chen W S, Zhang Z Q. Globally stable adaptive backstepping fuzzy control for output-feedback systems with unknown high-frequency gain sign. Fuzzy Sets and Systems, 2010, 161(6): 821-836 doi: 10.1016/j.fss.2009.10.026 [4] Wu J, Chen W S, Yang F Z, Li J, Zhu Q. Global adaptive neural control for strict-feedback time-delay systems with predefined output accuracy. Information Sciences, 2015, 301: 27-43 doi: 10.1016/j.ins.2014.12.039 [5] Wu J, Chen W S, Li J. Fuzzy-approximation-based global adaptive control for uncertain strict-feedback systems with a priori known tracking accuracy. Fuzzy Sets and Systems, 2015, 273: 1-25 doi: 10.1016/j.fss.2014.10.009 [6] Wang M L, Zhang Z Q. Globally adaptive asymptotic tracking control of nonlinear systems using nonlinearly parameterized fuzzy approximator. Journal of the Franklin Institute, 2015, 352(7): 2783-2795 doi: 10.1016/j.jfranklin.2015.04.011 [7] Huang J T. Global tracking control of strict-feedback systems using neural networks. IEEE Transactions on Neural Networks and Learning Systems, 2012, 23(11): 1714-1725 doi: 10.1109/TNNLS.2012.2213305 [8] Fu J, Ma R C, Chai T Y. Global finite-time stabilization of a class of switched nonlinear systems with the powers of positive odd rational numbers. Automatica, 2015, 54: 360-373 doi: 10.1016/j.automatica.2015.02.023 [9] Xu B, Yang C G, Pan Y P. Global neural dynamic surface tracking control of strict-feedback systems with application to hypersonic flight vehicle. IEEE Transactions on Neural Networks and Learning Systems, 2015, 26(10): 2563-2575 doi: 10.1109/TNNLS.2015.2456972 [10] Chen W S, Ge S S, Wu J, Gong M G. Globally stable adaptive backstepping neural network control for uncertain strict-feedback systems with tracking accuracy known a priori. IEEE Transactions on Neural Networks and Learning Systems, 2015, 26(9): 1842-1854 doi: 10.1109/TNNLS.2014.2357451 [11] Ge S S, Hong F, Lee T H. Robust adaptive control of nonlinear systems with unknown time delays. Automatica, 2005, 41(7): 1181-1190 doi: 10.1016/j.automatica.2005.01.011 [12] Tong S C, Li Y, Li Y M, Liu Y J. Observer-based adaptive fuzzy backstepping control for a class of stochastic nonlinear strict-feedback systems. IEEE Transactions on Systems, Man, and Cybernetics: Part B (Cybernetics), 2011, 41(6): 1693-1704 doi: 10.1109/TSMCB.2011.2159264 [13] Guo T, Liu G Y. Adaptive fuzzy control for unknown nonlinear time-delay systems with virtual control functions. International Journal of Control, Automation and Systems, 2011, 9(6): 1227-1234 doi: 10.1007/s12555-011-0625-1 [14] Guo T, Wang A M. Simplified output feedback stabilization for time-delay interconnected systems based on dynamic surface control. International Review on Computers and Software, 2012, 7(1): 275-282 https://www.researchgate.net/publication/293080709_Simplified_output_feedback_stabilization_for_time-delay_interconnected_systems_based_on_dynamic_surface_control [15] Yang Y, Yue D, Xue Y S. Decentralized adaptive neural output feedback control of a class of large-scale time-delay systems with input saturation. Journal of the Franklin Institute, 2015, 352(5): 2129-2151 doi: 10.1016/j.jfranklin.2015.02.009 [16] Zhou Q, Shi P, Xu S Y, Li H Y. Observer-based adaptive neural network control for nonlinear stochastic systems with time delay. IEEE Transactions on Neural Networks and Learning Systems, 2013, 24(1): 71-80 doi: 10.1109/TNNLS.2012.2223824 [17] Chen B, Liu X P, Liu K F, Lin C. Adaptive fuzzy tracking control of nonlinear MIMO systems with time-varying delays. Fuzzy Sets and Systems, 2013, 217: 1-21 doi: 10.1016/j.fss.2012.11.002 [18] Chen B, Liu X P, Liu K F, Lin C. Adaptive control for nonlinear MIMO time-delay systems based on fuzzy approximation. Information Sciences, 2013, 222: 576-592 doi: 10.1016/j.ins.2012.07.058 [19] Zhang X, Lin Y. Adaptive control of nonlinear time-delay systems with application to a two-stage chemical reactor. IEEE Transactions on Automatic Control, 2015, 60(4): 1074-1079 doi: 10.1109/TAC.2014.2330436 [20] Tang X D, Tao G, Joshi S M. Adaptive actuator failure compensation for parametric strict feedback systems and an aircraft application. Automatica, 2003, 39(11): 1975-1982 doi: 10.1016/S0005-1098(03)00219-X [21] Wang W, Wen C Y. Adaptive actuator failure compensation control of uncertain nonlinear systems with guaranteed transient performance. Automatica, 2010, 46(12): 2082-2091 doi: 10.1016/j.automatica.2010.09.006 [22] Fan H J, Liu B, Wang W, Wen C Y. Adaptive fault-tolerant stabilization for nonlinear systems with Markovian jumping actuator failures and stochastic noises. Automatica, 2015, 51: 200-209 doi: 10.1016/j.automatica.2014.10.084 [23] Tang X D, Tao G, Joshi S M. Virtual grouping based adaptive actuator failure compensation for MIMO nonlinear systems. IEEE Transactions on Automatic Control, 2005, 50(11): 1775-1780 doi: 10.1109/TAC.2005.858633 [24] Tong S C, Huo B Y, Li Y M. Observer-based adaptive decentralized fuzzy fault-tolerant control of nonlinear large-scale systems with actuator failures. IEEE Transactions on Fuzzy Systems, 2014, 22(1): 1-15 doi: 10.1109/TFUZZ.2013.2241770 [25] Boskovic J D, Mehra R K. Stable multiple model adaptive flight control for accommodation of a large class of control effector failures. In: Proceedings of the 1999 American Control Conference. San Diego, CA, USA: IEEE, 1999. 1920-1924 [26] Zhang Z Q, Xu S Y, Guo Y, Chu Y M. Robust adaptive output-feedback control for a class of nonlinear systems with time-varying actuator faults. International Journal of Adaptive Control and Signal Processing, 2010, 24(9): 743-759 doi: 10.1002/acs.v24:9 [27] Tang X D, Tao G, Joshi S M. Adaptive actuator failure compensation for nonlinear MIMO systems with an aircraft control application. Automatica, 2007, 43(11): 1869-1883 doi: 10.1016/j.automatica.2007.03.019 [28] Li P, Yang G H. An adaptive fuzzy design for fault-tolerant control of MIMO nonlinear uncertain systems. Journal of Control Theory and Applications, 2011, 9(2): 244-50 doi: 10.1007/s11768-011-8167-x [29] Xu Y Y, Tong S C, Li Y M. Adaptive fuzzy decentralised fault-tolerant control for nonlinear large-scale systems with actuator failures and unmodelled dynamics. International Journal of Systems Science, 2015, 46(12): 2195-2209 doi: 10.1080/00207721.2013.859328 [30] Wang L X. Adaptive Fuzzy Systems and Control: Design and Stability Analysis. Englewood Cliffs, NJ: Prentice-Hall, 1994. [31] Krstic M, Kokotovic P V, Kanellakopoulos I. Nonlinear and Adaptive Control Design. New York: John Wiley & Sons, 1995. [32] Polycarpou M M. Stable adaptive neural control scheme for nonlinear systems. IEEE Transactions on Automatic Control, 1996, 41(3): 447-451 doi: 10.1109/9.486648 -
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