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System identification, control algorithms and control interval for the Box-Jenkins dynamic model structure

University of British Columbia

The Box-Jenkins model of a discrete control system has been studied. First the transfer function model was identified numerically via the derivatives of the variance of the disturbance, then the disturbance model was identified via the derivative of the variance of the generating white noise. Once the model had been identified, an approach to obtain the optimal gains of a discrete PID controller was suggested. In an adaptive environment, the recursive least determinant self tuning controller was designed to calculate the best possible control action based only on the presumed orders of the controller and without knowledge of the delay. The problem of determination of a possible slower control interval of a control loop was solved via modelling a skipped ARIMA through matrix algebra and a robust numerical procedure.

Thesis/Dissertation

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2009-04-17

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http://hdl.handle.net/2429/7331

Chemical and Biological Engineering

University of British Columbia

UBCV

DSpace