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Nonlinear constrained predictive control applied to a coupled-tanks apparatus

Nonlinear constrained predictive control applied to a coupled-tanks apparatus

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The focus of the paper is the development and application to experimental equipment of fast constrained predictive control algorithms based on feedback linearisation. Rather than use quadratic programming (QP) optimisation is performed, deploying a computationally much cheaper alternative based on interpolation and linear programming (LP). Despite its undemanding computational nature, this algorithm is found to perform well both in simulation, and when applied to an actual couple-tanks rig. The advantages of the algorithm are further illustrated by comparison with PID control.

References

    1. 1)
      • J.J.E. Slotine , W. Li . (1991) Applied nonlinear control.
    2. 2)
      • B. KOUVARITAKIS , J.A. ROSSITER , M. CANNON . Linear quadratic feasible predictive control. Automatica , 12 , 1583 - 1592
    3. 3)
      • M. CANNON , B. KOUVARITAKIS . Fast suboptimal predictive control with guaranteed stability. Syst. Control Lett. , 19 - 29
    4. 4)
      • CUTLER, C.R., RAMAKER, B.L.: `Dynamic matrix control—a computer control algorithm', Proceedings of the Joint automatic control Conference, 1980.
    5. 5)
      • J. RICHALET , A. RAULT , J.L. TESTUD , J. PADON . Model predictive heuristic control: application to industrial processes. Automatica , 413 - 428
    6. 6)
      • A. Isidori . (1989) Nonlinear control systems.
    7. 7)
      • J.A. Rossiter , B. Kouvaritakis , M.J. Rice . A numerically robuststate-space approach to stable-predictive control strategies. Automatica , 1 , 65 - 73
    8. 8)
      • SCOKAERT, P.O.M., RAWLINGS, J.B.: `Infinite horizon linear quadratic control with constraints', Proceedings of the IFAC World Congress, 1996, San Francisco, p. 109–114USA, number 1 in 7a-04, .
    9. 9)
      • ROSSITER, J.A., RICE, M.J., KOUVARITAKIS, B.: `A robust state-space approach to stable predicitve control strategies', In Proceedings of the American Control Conference (ACC97), Albuquerque, 1997, 3, New Mexico, p. 1640–1641, USA, AACC.
    10. 10)
      • D.W. CLARKE , R. SCATTOLINI . Constrained receding-horizon predictive control. IEE Proc. D, Control Theory Appl. , 4 , 347 - 354
    11. 11)
      • DE DONÁ, J.A., GOODWIN, G.C., SCRON, M.M: `Connection between model predictive control and anti-windup strategies for dealing with saturation actuators', Proceedings of the European Control Conference ECC99, 1999.
    12. 12)
      • CANNON, M.: `Constrained predictive control', 1998, PhD thesis, University of Oxford, Department of Engineering Science.
    13. 13)
      • P.O.M. Scokaert , D.Q. Mayne . Min-max feedback model predictive control for constrained linear systems. IEEE Trans. Autom. Control , 8 , 1136 - 1142
    14. 14)
      • P.O.M. SCOKAERT , J.B. RAWLINGS . Constrained linear quadratic regulation.. IEEE Trans. Autom. Control , 8 , 1163 - 1169
    15. 15)
      • D.W. CLARKE , C. MOHTADI , P.S. TUFFS . Generalized predictive control—part II: extentions and interpretations. Automatica , 2 , 149 - 160
    16. 16)
      • B. KOUVARITAKIS , J.A. ROSSITER , A.O.T. CHANG . Stable generalised predictive control: an algorithm with guaranteed stablility. IEE Proc. D, Control Theory Appl. , 4 , 349 - 362
    17. 17)
      • D.W. CLARKE , C. MOHTADI , P.S. TUFFS . Generalized predictive control—part I: the basic algorithm. Automatica , 2 , 137 - 148
    18. 18)
      • B. KOUVARITAKIS , M. CANNON , J.A. ROSSITER . (2000) Stability, feasibility, optimality and the degrees of freedom in constrained predictive control , Nonlinear model predictive control.
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