Robust Component Fault Diagnostic Observer Design for Underactuated Surface Vessels Using Moving Horizon Optimization

For the consideration of improving the safety and reliability for underactuated surface vessel, the design scheme of a robust component fault detection (FD) is investigated in this paper. The main idea is to formulate the observer design as the $H_{-}/H_{\infty }$ problem of satisfying the disturbance attenuation and optimizing the fault detectability. The sufficient conditions for performance indexes are derived in the formulation of linear matrix inequality. Considering the remarkable fact that the actual system states are not involved in the iteration process for the parameters optimization, based on the moving horizon optimization strategy, the robust component FD design approach is proposed to achieve the improvements of FD performance and feasibility. The simulation results are given to demonstrate the effectiveness of the proposed approach.

[1]  Gang Feng,et al.  A Fault Estimation Method Based on UIO Robust Residual Generators , 2016 .

[2]  Rui Yu,et al.  Fault Diagnosis of Condenser in Ship Steam Power System Based on Unsupervised Learning Neural Network , 2012 .

[3]  Yu Cui,et al.  Design and analysis of robust fault detection filter using LMI tools , 2009, Comput. Math. Appl..

[4]  Chuanjiang Li,et al.  Backstepping-based distributed coordinated tracking for multiple uncertain Euler-Lagrange systems , 2016 .

[5]  Qin Zhang,et al.  On intelligent risk analysis and critical decision of underwater robotic vehicle , 2017 .

[6]  Hong Chen,et al.  Disturbance Attenuation with Actuator Constraints by Moving Horizon H∞ Control , 2004 .

[7]  Thor I. Fossen,et al.  Guidance and control of ocean vehicles , 1994 .

[8]  F. Allgower,et al.  Disturbance attenuation with actuator constraints by hybrid state-feedback control , 2002, Proceedings of the 41st IEEE Conference on Decision and Control, 2002..

[9]  Jianbin Qiu,et al.  Descriptor reduced-order sliding mode observers design for switched systems with sensor and actuator faults , 2017, Autom..

[10]  Bruno Jouvencel,et al.  Smooth transition of AUV motion control: From fully-actuated to under-actuated configuration , 2015, Robotics Auton. Syst..

[11]  Lionel Lapierre,et al.  Survey on Fuzzy-Logic-Based Guidance and Control of Marine Surface Vehicles and Underwater Vehicles , 2018, Int. J. Fuzzy Syst..

[12]  Steven X. Ding,et al.  Model-based fault diagnosis in technical processes , 2000 .

[13]  Okyay Kaynak,et al.  Sliding Mode Observer-Based FTC for Markovian Jump Systems With Actuator and Sensor Faults , 2017, IEEE Transactions on Automatic Control.

[14]  X. Steven Ding,et al.  Current Developments in the Theory of FDI , 2000 .

[15]  Steven X. Ding,et al.  Model-based Fault Diagnosis Techniques: Design Schemes, Algorithms, and Tools , 2008 .

[16]  Steven X. Ding,et al.  H_/H∞ fault detection filter design for discrete-time Takagi-Sugeno fuzzy system , 2013, Autom..

[17]  Paul M. Frank,et al.  Fault Diagnosis in Dynamic Systems , 1993, Robotics, Mechatronics and Manufacturing Systems.

[18]  Khashayar Khorasani,et al.  Actuator Fault Detection and Isolation for a Network of Unmanned Vehicles , 2009, IEEE Transactions on Automatic Control.

[19]  Jing Sun,et al.  Path following for marine surface vessels with rudder and roll constraints: An MPC approach , 2009, 2009 American Control Conference.

[20]  Kaixiang Peng,et al.  An optimal fault detection approach for piecewise affine systems via diagnostic observers , 2017, Autom..

[21]  James Lam,et al.  Iterative LMI approach for robust fault detection observer design , 2003, 42nd IEEE International Conference on Decision and Control (IEEE Cat. No.03CH37475).

[22]  Qin Zhang,et al.  On decentralized adaptive full-order sliding mode control of multiple UAVs. , 2017, ISA transactions.

[23]  Huang Jun-ji,et al.  Method on component fault diagnosis for nonlinear systems , 2014 .

[24]  Young-Moon Park,et al.  A fault diagnosis expert system for distribution substations , 2000 .

[25]  Jie Chen,et al.  Design of unknown input observers and robust fault detection filters , 1996 .

[26]  Imad M. Jaimoukha,et al.  A matrix factorization solution to the I fault detection problem , 2006, Autom..

[27]  Caoyang Yu,et al.  Robust fuzzy 3D path following for autonomous underwater vehicle subject to uncertainties , 2017, Comput. Oper. Res..

[28]  H. Trinh,et al.  Design of unknown input functional observers for nonlinear systems with application to fault diagnosis , 2013 .

[29]  I. Jaimoukha,et al.  Amatrix factorization solution to the H − / H ∞ fault detection problem , 2006 .

[30]  Tengfei Shi,et al.  Fault tree analysis of fire and explosion accidents for dual fuel (diesel/natural gas) ship engine rooms , 2016 .

[31]  A. Q. Khan,et al.  Energy based fault detection for dissipative systems , 2010, 2010 Conference on Control and Fault-Tolerant Systems (SysTol).