Decentralized Fault-Tolerant Control for Satellite Attitude Synchronization

This paper presents a decentralized adaptive fuzzy approximation design to achieve attitude tracking control for formation flying in the presence of external disturbances and actuator faults. A nonsingular fast terminal sliding mode controller that is based on consensus theory is designed for distributed cooperative attitude synchronization. It solves synchronization issues between multiple satellites by information topology. In the proposed control scheme, a fuzzy logic system (FLS) is introduced to approximate unknown individual satellite attitude dynamics due to actuator faults. In order to achieve fault management without the involvement of ground-station operators, the proposed control laws do not require an explicit fault detection and isolation mechanism. Numerical simulation results including actuator dynamics and initial condition uncertainties show that the proposed strategy with FLS can compensate for a fault. The system continues to operate after wheel faults, and the closed-loop distributed tracking control system is stochastically stable.

[1]  Huaining Wu,et al.  STOCHASTIC STABILITY ANALYSIS AND SYNTHESIS FOR NONLINEAR FAULT TOLERANT CONTROL SYSTEMS BASED ON THE TS FUZZY MODEL , 2010 .

[2]  M. Mahmoud Stability analysis of discrete fault tolerant control systems with parameter uncertainties , 2008, 2008 American Control Conference.

[3]  Masayoshi Tomizuka,et al.  Robust adaptive control using a universal approximator for SISO nonlinear systems , 2000, IEEE Trans. Fuzzy Syst..

[4]  Sang-Young Park,et al.  Decentralized Coordinated Attitude Control for Satellite Formation Flying via the State-Dependent Riccati Equation Technique , 2009 .

[5]  Liang Yang,et al.  Nonsingular fast terminal sliding‐mode control for nonlinear dynamical systems , 2011 .

[6]  Lubomír Bakule,et al.  Decentralized control: An overview , 2008, Annu. Rev. Control..

[7]  Frank L. Lewis,et al.  Distributed adaptive control for synchronization of unknown nonlinear networked systems , 2010, Autom..

[8]  Zhihong Man,et al.  Non-singular terminal sliding mode control of rigid manipulators , 2002, Autom..

[9]  Christopher D. Hall,et al.  Decentralized Coordinated Attitude Control Within a Formation of Spacecraft , 2006 .

[10]  Marios M. Polycarpou,et al.  Decentralized Fault Tolerant Control of a Class of Interconnected Nonlinear Systems , 2011, IEEE Transactions on Automatic Control.

[11]  Abdelhamid Tayebi,et al.  Decentralized attitude alignment control of spacecraft within a formation without angular velocity measurements , 2008 .

[12]  Qinglei Hu,et al.  Robust adaptive sliding-mode fault-tolerant control with L 2 -gain performance for flexible spacecraft using redundant reaction wheels , 2010 .

[13]  Chang-Kyung Ryoo,et al.  Fault tolerant control for satellites with four reaction wheels , 2008 .

[14]  Syuan-Yi Chen,et al.  Robust Nonsingular Terminal Sliding-Mode Control for Nonlinear Magnetic Bearing System , 2011, IEEE Transactions on Control Systems Technology.

[15]  Sai-Ming Li,et al.  Intelligent control of spacecraft in the presence of actuator failures , 1999, Proceedings of the 38th IEEE Conference on Decision and Control (Cat. No.99CH36304).

[16]  P. Wang,et al.  Synchronized Formation Rotation and Attitude Control of Multiple Free-Flying Spacecraft , 1997 .

[17]  Haiping Pang,et al.  Global Robust Optimal Sliding Mode Control for a Class of Affine Nonlinear Systems with Uncertainties Based on SDRE , 2009, 2009 Second International Workshop on Computer Science and Engineering.

[18]  Li-Xin Wang,et al.  A Course In Fuzzy Systems and Control , 1996 .

[19]  J. Junkins,et al.  Analytical Mechanics of Space Systems , 2003 .

[20]  Xinghuo Yu,et al.  Fast terminal sliding-mode control design for nonlinear dynamical systems , 2002 .

[21]  Da Lin,et al.  Observer-based decentralized fuzzy neural sliding mode control for interconnected unknown chaotic systems via network structure adaptation , 2010, Fuzzy Sets Syst..

[22]  Chih-Min Lin,et al.  Robust Fault-Tolerant Control for a Biped Robot Using a Recurrent Cerebellar Model Articulation Controller , 2007, IEEE Transactions on Systems, Man, and Cybernetics, Part B (Cybernetics).

[23]  Long Cheng,et al.  Adaptive Control of an Electrically Driven Nonholonomic Mobile Robot via Backstepping and Fuzzy Approach , 2009, IEEE Transactions on Control Systems Technology.

[24]  K. Khorasani,et al.  Satellite fault diagnosis using a bank of interacting Kalman filters , 2007, IEEE Transactions on Aerospace and Electronic Systems.

[25]  M. Saif,et al.  Robust fault diagnosis for a satellite large angle attitude system using an iterative neuron PID (INPID) observer , 2006, 2006 American Control Conference.

[26]  Carlos M. Roithmayr,et al.  Attitude and Orbit Control of a Very Large Geostationary Solar Power Satellite , 2005 .

[27]  K. Khorasani,et al.  Coordinated Attitude Control of Spacecraft Formation without Angular Velocity Feedback: A Decentralized Approach ∗ , 2009 .

[28]  Wei Ren,et al.  Distributed Cooperative Attitude Synchronization and Tracking for Multiple Rigid Bodies , 2010, IEEE Transactions on Control Systems Technology.

[29]  Peng Shi,et al.  Integrated Fault Estimation and Accommodation Design for Discrete-Time Takagi–Sugeno Fuzzy Systems With Actuator Faults , 2011, IEEE Transactions on Fuzzy Systems.

[30]  Gordon F. Royle,et al.  Algebraic Graph Theory , 2001, Graduate texts in mathematics.

[31]  L X Wang,et al.  Fuzzy basis functions, universal approximation, and orthogonal least-squares learning , 1992, IEEE Trans. Neural Networks.

[32]  M. Innocenti,et al.  Stability considerations in quaternion attitude control using discontinuous Lyapunov functions , 2004 .

[33]  Zhihong Man,et al.  Continuous finite-time control for robotic manipulators with terminal sliding mode , 2003, Autom..

[34]  W. Ren Distributed attitude alignment in spacecraft formation flying , 2007 .