Interactive software platform of intelligent supervisory control for the mineral grinding process

Jinliang Ding, Yang Cao, Tianyou Chai, Hong Wang

    Research output: Chapter in Book/Conference proceedingConference contributionpeer-review

    Abstract

    The mineral grinding process is an important procedure in the mineral processing. Its technical performance index is the particle size, which is closely related to the overall performance of the mineral processing. In this paper, we present the construction of a software platform of the supervisory control of the grinding process to control its particle size into the target range. The platform provides the researcher and the engineer with an interactive tool to investigate the supervisory control algorithms and their parameters selection. The supervisory control strategy, the structure and the function of the software platform are given in the paper, where two experiments are given to evaluate the software platform and the results show its validity and efficiency. © 2007 IEEE.
    Original languageEnglish
    Title of host publicationProceedings of the IEEE International Conference on Control Applications|Proc. IEEE Int. Conf. Control Appl.
    Pages836-841
    Number of pages5
    DOIs
    Publication statusPublished - 2007
    Event16th IEEE International Conference on Control Applications, CCA 2007. Part of IEEE Multi-conference on Systems and Control -
    Duration: 1 Jul 2007 → …

    Conference

    Conference16th IEEE International Conference on Control Applications, CCA 2007. Part of IEEE Multi-conference on Systems and Control
    Period1/07/07 → …

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