Detection of model-plant mismatch in MPC applications

Development and application of a model-plant mismatch expression for linear time-invariant systems

“…The availability of poor process models is known to be a source of poor control performance, in fact this is listed as one of the most significant reasons for poor control performance in the minerals-processing industry by [1]. The fact that MPM is however not limited to the minerals-processing industry is a reason why research into this area has received some focus in the recent past [2].…”

“…In order to restore the controller performance the process needs to be re-identified and the controller redesigned, which is a costly and time-consuming exercise [7]. Apart from the formerly mentioned problems, process re-identification also often involves intrusive plant tests that disturb the normal operation of the plant [2].…”

“…Algorithms for MPM detection have been proposed by [2] and [8]. These algorithms identify the transfer function matrix elements that contain mismatch as well as the significance of the mismatch.…”

“…This limitation is however also present for the MPM detection algorithms presented by [2] and [8], and also for most plant identification methods.…”

Dual particle filters for state and parameter estimation with application to a run-of-mine ore mill

“…Compensating for the effects of strong external disturbances on the milling circuit through the use of disturbance observers has previously been addressed [3], [4]. The use of model-plant mismatch detection [5] to access the quality of the available model has also been addressed [6]. In this paper the focus is on simultaneous state and parameter estimation concerning the mill, for which measurements are not readily available.…”