Adaptive state‐feedback control with sensor failure compensation for asymptotic output tracking

This paper addresses a new adaptive output tracking problem in the presence of uncertain plant dynamics and uncertain sensor failures. A new unified nominal state‐feedback control law is developed to deal with various sensor failures, which is directly constructed by state sensor outputs. Such a new state‐feedback compensation control law is able to ensure the desired plant‐model matching properties under different failure patterns. Based on the nominal compensation control design, a new adaptive compensation control scheme is proposed, which guarantees closed‐loop signal boundedness and asymptotic output tracking. The new adaptive compensation scheme not only expands the sensor failures types that the system could tolerate but also avoids some signal processing procedures that the traditional fault‐tolerant control techniques are forced to encounter. A complete stability analysis and a representative simulation study are conducted to evaluate the effectiveness of the proposed adaptive compensation control scheme.

[1]  Huijun Gao,et al.  Reconfigurable Tolerant Control of Uncertain Mechanical Systems With Actuator Faults: A Sliding Mode Observer-Based Approach , 2018, IEEE Transactions on Control Systems Technology.

[2]  Di-Hua Zhai,et al.  Multilateral Telecoordinated Control of Multiple Robots With Uncertain Kinematics , 2018, IEEE Transactions on Neural Networks and Learning Systems.

[3]  Gang Tao,et al.  An adaptive state feedback control scheme with sensor failure compensation , 2017, 2017 11th Asian Control Conference (ASCC).

[4]  Gang Tao,et al.  A model reference adaptive control scheme with partial-state feedback for output tracking , 2017, 2017 American Control Conference (ACC).

[5]  Maria Adler,et al.  Stable Adaptive Systems , 2016 .

[6]  Abdesselem Boulkroune,et al.  Adaptive sensor-fault tolerant control for a class of multivariable uncertain nonlinear systems. , 2015, ISA transactions.

[7]  Maizura Mokhtar,et al.  Sensor Failure Detection, Identification, and Accommodation Using Fully Connected Cascade Neural Network , 2015, IEEE Transactions on Industrial Electronics.

[8]  Gang Tao,et al.  Direct adaptive actuator failure compensation control: a tutorial , 2014, J. Control. Decis..

[9]  Suresh M. Joshi,et al.  Engineering Notes Direct Model Reference Adaptive Control with Actuator Failures and Sensor Bias , 2014 .

[10]  L. Ljung,et al.  Adaptive Control Design and Analysis ( , 2014 .

[11]  Donghua Zhou,et al.  Leakage Fault Diagnosis for an Internet-Based Three-Tank System: An Experimental Study , 2012, IEEE Transactions on Control Systems Technology.

[12]  Bin Jiang,et al.  Fault diagnosis and estimation for near-space hypersonic vehicle with sensor faults , 2012, J. Syst. Control. Eng..

[13]  Yong Zhang,et al.  Fault detection for nonlinear networked systems with random packet dropout and probabilistic interval delay , 2011 .

[14]  Youmin Zhang,et al.  Engineering Notes Fault-Tolerant Attitude Control for Spacecraft Under Loss of Actuator Effectiveness , 2011 .

[15]  M. Benosman,et al.  Passive Fault Tolerant Control , 2011 .

[16]  Hyondong Oh,et al.  Indoor UAV Control Using Multi-Camera Visual Feedback , 2011, J. Intell. Robotic Syst..

[17]  Christine M. Belcastro,et al.  Aircraft Loss-of-Control Accident Analysis , 2010 .

[18]  Gang Tao,et al.  A multivariable MRAC scheme with sensor uncertainty compensation , 2009, Proceedings of the 48h IEEE Conference on Decision and Control (CDC) held jointly with 2009 28th Chinese Control Conference.

[19]  Shanshan Li,et al.  Feedback based adaptive compensation of control system sensor uncertainties , 2009, Autom..

[20]  Michael A. Demetriou,et al.  Adaptive techniques for the MRAC, adaptive parameter identification, and on‐line fault monitoring and accommodation for a class of positive real infinite dimensional systems , 2009 .

[21]  Gong Zheng,et al.  Overview of MAC Protocols in Wireless Sensor Networks , 2009 .

[22]  Gang Tao,et al.  Adaptive control of systems with actuator failures , 2004, 2008 Chinese Control and Decision Conference.

[23]  Youmin Zhang,et al.  Bibliographical review on reconfigurable fault-tolerant control systems , 2003, Annu. Rev. Control..

[24]  W. Chen,et al.  Adaptive actuator fault detection, isolation and accommodation in uncertain systems , 2007, Int. J. Control.

[25]  Gang Tao,et al.  Adaptive Control Design and Analysis , 2003 .

[26]  Yixin Diao,et al.  Intelligent fault-tolerant control using adaptive and learning methods , 2002 .

[27]  Raman K. Mehra,et al.  STABLE ADAPTIVE FAULT-TOLERANT CONTROL OF OVERACTUATED AIRCRAFT USING MULTIPLE MODELS, SWITCHING AND TUNING * , 1998 .

[28]  Martin Soika A sensor failure detection framework for autonomous mobile robots , 1997, Proceedings of the 1997 IEEE/RSJ International Conference on Intelligent Robot and Systems. Innovative Robotics for Real-World Applications. IROS '97.

[29]  Chi-Tsong Chen,et al.  Linear System Theory and Design , 1995 .

[30]  Zhang Chen,et al.  Artificial neural network for sensor failure detection in an automotive engine , 1994, Conference Proceedings. 10th Anniversary. IMTC/94. Advanced Technologies in I & M. 1994 IEEE Instrumentation and Measurement Technolgy Conference (Cat. No.94CH3424-9).

[31]  T.-H. Guo,et al.  Sensor failure detection and recovery by neural networks , 1991, IJCNN-91-Seattle International Joint Conference on Neural Networks.