Model predictive control of a coal dense medium drum separator^*

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• 作者：Ewald J. Meyer^* ; ^** ; ^{jonathan.meyer@exxaro.com" class="auth_mail" title="E-mail the corresponding author} ; Ian K. Craig^** ; ^{icraig@postino.up.ac.za" class="auth_mail" title="E-mail the corresponding author}
• 关键词：coal beneficiation ; dense medium drum ; nonlinear model predictive control
• 刊名：IFAC-PapersOnLine
• 出版年：2016
• 出版时间：2016
• 年：2016
• 卷：49
• 期：20
• 页码：114-119
• 全文大小：507 K

文摘

Coal processing is typically performed by making use of gravity separation. A technology used to process larger sized coal particles (typically above 25mm) is a dense medium drum (DMD) separator. These plants make use of a medium set at a specific density to separate coal from gangue.

This paper shows how nonlinear model predictive control (NMPC) can be applied to an industrial DMD plant with a process objective to both increase yield while minimising ash content (i.e. improving grade). The results are significant as the DMD yield improved by 7.5% while ash content improved by 1.5%. The dynamic model of a DMD separator developed in a previous publication by the authors was used in the NMPC simulations.