Adaptive Predictive Control Applied to Coupled Drives Process

M. Kubalčík and V. Bobál (Czech Republic)


Predictive control, adaptive control, multivariablesystems, recursive identification, nonlinear systems


This paper is focused in application of a self – tuning predictive controller for real – time control of a coupled drives apparatus laboratory model. The controlled apparatus is a multivariable nonlinear system. The controller integrates an on – line identification of an ARX model of a controlled system and a predictive control synthesis on the basis of the identified parameters. The model parameters are recursively estimated using the recursive least squares method with the directional forgetting. The control algorithm is based on the Generalised Predictive Control (GPC) method. The optimization was realized by minimization of a quadratic objective function. The predictive controllers design is based on a multivariable CARIMA model. Results of real time experiments are also included.

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