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Adaptive IMC controller design using linear multiple models
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DOI：10.1016/j.jtice.2010.04.002.png)
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Abstract
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In this paper, an adaptive IMC controller using just-in-time learning (JITL) technique for nonlinear process control is proposed. Based on a set of linear models obtained on-line by the JITL, not only the parameters of IMC controller are updated, but also IMC filter parameter is adjusted on-line by an updating algorithm derived based on the Lyapunov method to guarantee the convergence of JITL's predicted tracking error. Simulation results are presented to demonstrate the advantage of the proposed adaptive IMC design over its conventional counterparts. (C) 2010 Taiwan Institute of Chemical Engineers. Published by Elsevier B.V. All rights reserved.
Keywords:
Just-in-time learning
Adaptive control
Internal model control
Lyapunov method
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