Resolving actuator redundancy - optimal control vs. control allocation

This paper considers actuator redundancy management for a class of overactuated nonlinear systems. Two tools for distributing the control effort among a redundant set of actuators are optimal control design and control allocation. In this paper, we investigate the relationship between these two design tools when the performance indexes are quadratic in the control input. We show that for a particular class of nonlinear systems, they give exactly the same design freedom in distributing the control effort among the actuators. Linear quadratic optimal control is contained as a special case. A benefit of using a separate control allocator is that actuator constraints can be considered, which is illustrated with a flight control example.

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

[2]  David Bodden,et al.  Multivariable control allocation and control law conditioning when control effectors limit , 1994 .

[3]  B. Anderson,et al.  Optimal control: linear quadratic methods , 1990 .

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

[5]  Kenneth A. Bordignon,et al.  Constrained control allocation for systems with redundant control effectors , 1996 .

[6]  John A. M. Petersen,et al.  Constrained quadratic programming techniques for control allocation , 2003, 42nd IEEE International Conference on Decision and Control (IEEE Cat. No.03CH37475).

[7]  M G Pandy,et al.  Static and dynamic optimization solutions for gait are practically equivalent. , 2001, Journal of biomechanics.

[8]  Massimiliano Mattei,et al.  Linear quadratic optimal control , 1997 .

[9]  D. Gangsaas,et al.  Application of modem synthesis to aircraft control: Three case studies , 1986 .

[10]  Arthur E. Bryson,et al.  Applied Optimal Control , 1969 .

[11]  Richard Adams,et al.  Design of nonlinear control laws for high-angle-of-attack flight , 1994 .

[12]  J. Hanson,et al.  A Plan for Advanced Guidance and Control Technology for 2nd Generation Reusable Launch Vehicles , 2002 .

[13]  Frank L. Lewis,et al.  Aircraft Control and Simulation , 1992 .

[14]  Petre Stoica,et al.  Decentralized Control , 2018, The Control Systems Handbook.

[15]  M. Hestenes Calculus of variations and optimal control theory , 1966 .

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

[17]  D. Gangsaas,et al.  Application of Modern Synthesis to Aircraft Control : Three Case Studies , 2001 .

[18]  T. Westerlund,et al.  Stochastic modelling and self-tuning control of a continuous cement raw material mixing system , 1979, 1979 18th IEEE Conference on Decision and Control including the Symposium on Adaptive Processes.

[19]  Scott L Delp,et al.  Generating dynamic simulations of movement using computed muscle control. , 2003, Journal of biomechanics.

[20]  O. Harkegard Efficient active set algorithms for solving constrained least squares problems in aircraft control allocation , 2002, Proceedings of the 41st IEEE Conference on Decision and Control, 2002..

[21]  Gary J. Balas Flight Control Law Design: An Industry Perspective , 2003, Eur. J. Control.

[22]  Tor Arne Johansen,et al.  Constrained nonlinear control allocation with singularity avoidance using sequential quadratic programming , 2004, IEEE Transactions on Control Systems Technology.

[23]  Fuzhen Zhang Matrix Theory: Basic Results and Techniques , 1999 .

[24]  Samir Bennani,et al.  Robust flight control : a design challenge , 1997 .

[25]  Ola Härkegård,et al.  Backstepping and control allocation with applications to flight control , 2003 .

[26]  Chaouki T. Abdallah,et al.  Linear Quadratic Control: An Introduction , 2000 .

[27]  J. Doyle,et al.  Robust and optimal control , 1995, Proceedings of 35th IEEE Conference on Decision and Control.

[28]  O. J. Sordalen,et al.  Optimal thrust allocation for marine vessels , 1997 .

[29]  Huibert Kwakernaak,et al.  Linear Optimal Control Systems , 1972 .