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Adaptive unified predictive control applied to first-order-plus-dead-time processes to eliminate unknown class of deterministic disturbance

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Abstract

A novel adaptive unified predictive control method (adaptive-UPC) is proposed and applied to the first-order-plus-dead-time (FOPDT) process models with model uncertainties (gain, time constant and dead-time) under unknown deterministic disturbances (step, ramp and the unknown frequency sinusoid). Based on indirect self-tuning regulator, this new control structure is constructed by combining UPC controller, recursive least-squares estimation with forgetting factor (RLS with forgetting factor) and variable regression estimation (VRE). By the simulation results, this scheme is proven to be applied to such process model with model uncertainties effectively.

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Authors and Affiliations

  1. Department of Mechanical Engineering, National Chiao Tung University, Hsinchu, Taiwan, ROC

    S. K. Lin & A. C. Lee

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  1. S. K. Lin
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  2. A. C. Lee
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Correspondence to A. C. Lee.

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Lin, S.K., Lee, A.C. Adaptive unified predictive control applied to first-order-plus-dead-time processes to eliminate unknown class of deterministic disturbance. Evolving Systems 3, 45–56 (2012). https://doi.org/10.1007/s12530-011-9039-9

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  • DOI: https://doi.org/10.1007/s12530-011-9039-9

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