Application of stable adaptive schemes to nuclear reactor systems. III. Parameter identification and adaptive control of two temperature feedback model.

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  • Parameter Identification and Adaptive Control of Two Temperature Feedback Model

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Stable parameter identification and adaptive control schemes are considered for a reactor model embodying two temperature feedbacks-slow and fast. This reactor model is liable to see its feedback coefficients change sign in the course of long periods of operation, resulting in nonlinear oscillations of neutron flux, which cannot be described by a linearized model. This nonlinear system is expressed in terms of memoryless non-linear elements in the feedback loop of a linear system, with the aid of linear and non-linear transformations, and the nonlinear elements are here treated without being linearized. A new system representation is introduced, using which, stable parameter identification and adaptive control schemes are developed in the pattern of the Model Reference Adaptive System (MRAS) with use made of the Lyapunov method. Both schemes are shown to be stable, and furthermore globally stable if the input has frequencies sufficiently varied to permit all the excited modes to be considered linearly independent. It is thus shown that the estimated parameters converge to the true values for the parameter identification, and that, for the adaptive control, the output error between the plant and the model tends toward zero.

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Details 詳細情報について

  • CRID
    1390282679071339776
  • NII Article ID
    130000828678
  • DOI
    10.3327/jnst.16.553
  • COI
    1:CAS:528:DyaE1MXlvVegtb4%3D
  • ISSN
    18811248
    00223131
  • Text Lang
    en
  • Data Source
    • JaLC
    • Crossref
    • CiNii Articles
  • Abstract License Flag
    Disallowed

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