Experimental study of an aluminium plate temperature control by a stable multivariable continuous-time generalised predictive control Online publication date: Tue, 16-Dec-2008
by Mingcong Deng, Akira Inoue
International Journal of Modelling, Identification and Control (IJMIC), Vol. 5, No. 2, 2008
Abstract: Multivariable Continuous-time Generalised Predictive Control (MCGPC) is well known and utilised in many practical cases. However, there is a limit on input value in almost physical systems. The limit affects the control performance. In this paper, a design problem of a stable MCGPC system for an aluminium plate temperature control process is considered. The process is of process with input constraints. The controller is considered by using coprime factorisation representation and Youla-Kucera parametrisation such that stable controllers are always produced. Based on some robust stability conditions, globally stability of the control system with input constraints is also guaranteed. As a result, the resulted control system is robust strongly stable. Experimental results and application-based explanations of the aluminium plate temperature control are presented to show the effectiveness of the proposed design scheme.
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