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Real-time hybrid simulation of an adaptive-control technique

Real-time hybrid simulation of an adaptive-control technique

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The paper describes the simulation of an adaptive scheme based on least-squares methods, incorporating a hybrid computer. The analogue computer simulates the process dynamics, while the online digital machine effects the adaptive control via a.d.c. and d.a.c. interfaces. The scheme is shown to be realistic, and to have application to relatively fast-responding systems. The process is repeatedly identified as a series of quasilinear systems. Derived process parameters continuously update a suboptimal-feedback-control law. This control law, valid for a discrete-time environment, is shown to have application in continuous time. In addition, a novel approach to the problem of inaccessible states is investigated.

References

    1. 1)
      • P.A.N. Briggs , D.W. Clarke , P.H. Hammond . Introduction of statistical indentification methods in control systems. Control , 233 - 238
    2. 2)
      • B.H. Swanick , D. Graupe . Analysis of on-line identification and control of a nuclear reactor. J. Brit. Nuclear Energy Soc. , 100 - 113
    3. 3)
      • R.L. Plackett . (1960) , Principles of regression analysis.
    4. 4)
      • Eykhoff, P., van der Grinten, P.M.E.M., Kwakernaak, H., Veltman, B.P.T.: `System modelling and identification', Proceedings of the 3rd International IFAC congress, 1962, London.
    5. 5)
      • J.R. Hastings , M.W. Sage . Recursive generalised-least-squares procedure for on-line identification of process parameters. Proc. IEE , 12 , 2057 - 2062
    6. 6)
      • H. Nicholson . Dual mode control of a time varying boiler model with parameter and state estimation. Proc. IEE , 2 , 383 - 395
    7. 7)
      • B.H. Swanick , D.J. Sandoz . Real time adaptive control of systems containing inaccessible state variables. Internat. J. Control
    8. 8)
      • R.E. Bellman . (1961) , Adaptive processes—a guided tour.
    9. 9)
      • G. Bull . (1966) , Computational methods and algol.
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