Fault Tolerant Control Allocation for Mars Entry Vehicle using Adaptive Control

Accurate and reliable control of planetary entry is a major challenge for planetary exploration vehicles. For Mars entry, uncertainties in atmospheric properties such as winds aloft and density pose a major problem for meeting precision landing requirements. Anticipated manned missions to Mars will also require levels of safety and fault tolerance not required during earlier robotic missions. This paper develops a nonlinear fault-tolerant controller specifically tailored for addressing the unique environmental and mission demands of future Mars entry vehicles. The controller tracks a desired trajectory from entry interface to parachute deployment, and has an adaptation mechanism that reduces tracking errors in the presence of uncertain parameters such as atmospheric density, and vehicle properties such as aerodynamic coefficients and inertias. This nonlinear control law generates the commanded moments for a discrete control allocation algorithm, which then generates the optimal controls required to follow the desired trajectory. The reaction control system acts as a non-uniform quantizer, which generates applied moments that approximate the desired moments generated by a continuous adaptive control law. If a fault is detected in the control jets, it reconfigures the controls and minimizes the impact of control failures or damage on trajectory tracking. It is assumed that a fault identification and isolation scheme already exists to identify failures. A stability analysis is presented, and fault tolerance performance is evaluated with non real-time simulation for a complete Mars entry trajectory tracking scenario using various scenarios of control effector failures. The results presented in the paper demonstrate that the control algorithm has a satisfactory performance for tracking a pre-defined trajectory in the presence of control failures, in addition to plant and environment uncertainties. Copyright 2010 John Wiley & Sons, Ltd.

[1]  Daniel Liberzon,et al.  Quantization, time delays, and nonlinear stabilization , 2006, IEEE Transactions on Automatic Control.

[2]  John Valasek,et al.  Fault-Tolerant Structured Adaptive Model Inversion Control , 2006 .

[3]  David B. Doman,et al.  Quantized Control Allocation of Reaction Control Jets and Aerodynamic Control Surfaces , 2009 .

[4]  Tor Arne Johansen,et al.  Optimizing adaptive control allocation with actuator dynamics , 2007, 2007 46th IEEE Conference on Decision and Control.

[5]  A. Ravindran,et al.  Engineering Optimization: Methods and Applications , 2006 .

[6]  C. De Persis On feedback stabilization of nonlinear systems under quantization , 2005, Proceedings of the 44th IEEE Conference on Decision and Control.

[7]  A. Casavola,et al.  Adaptive fault tolerant actuator allocation for overactuated plants , 2007, 2007 American Control Conference.

[8]  Kamesh Subbarao Structured adaptive model inversion (SAMI): Theory and applications to trajectory tracking for non-linear dynamical systems , 2001 .

[9]  James M. Buffington,et al.  Flight control for mixed-amplitude commands , 1997 .

[10]  David B. Doman,et al.  Nonlinear Control Allocation Using Piecewise Linear Functions: A Linear Programming Approach , 2004 .

[11]  John Valasek,et al.  Structured Adaptive Model Inversion Controller for Mars Atmospheric Flight , 2007 .

[12]  Anuradha M. Annaswamy,et al.  Robust Adaptive Control , 1984, 1984 American Control Conference.

[13]  John L. Junkins,et al.  Adaptive realization of linear closed loop tracking dynamics in the presence of large system model errors , 1999 .

[14]  David B. Doman,et al.  Dynamic inversion-based adaptive/reconfigurable control of the X-33 on ascent , 2001, 2001 IEEE Aerospace Conference Proceedings (Cat. No.01TH8542).

[15]  Marc Bodson,et al.  Evaluation of optimization methods for control allocation , 2001 .

[16]  Kamesh Subbarao,et al.  Structured Model Reference Adaptive Control for a Class of Nonlinear Systems , 2003 .

[17]  A. Page,et al.  A CLOSED-LOOP COMPARISON OF CONTROL ALLOCATION METHODS , 2000 .

[18]  Richard H. Shertzer Control allocation for the next generation of entry vehicles , 2002 .

[19]  Monish D. Tandale,et al.  Solutions for handling control magnitude bounds in adaptive dynamic inversion controlled satellites , 2007 .

[20]  S. Glad On the gain margin of nonlinear and optimal regulators , 1984, 1982 21st IEEE Conference on Decision and Control.

[21]  Eduardo Sontag Smooth stabilization implies coprime factorization , 1989, IEEE Transactions on Automatic Control.

[22]  M. Bolender,et al.  Non-Linear Control Allocation Using Piecewise Linear Functions , 2006 .

[23]  Wayne C. Durham Constrained Control Allocation , 1992 .