Intelligent control system of an industrial lime kiln process

Mika Järvensivu, Kari Saari, Sirkka-Liisa Jämsä-Jounela

    Research output: Contribution to journalArticleScientificpeer-review

    74 Citations (Scopus)
    781 Downloads (Pure)


    In the face of strong competition, the pulp and paper industry is aiming at higher profitability through increased productivity and the reduction of costs. In addition, on the global scale the industry is facing increasing market demands for higher product quality, more specialty products and improved production flexibility and environmental protection. Consequently, extensive research is being conducted to improve existing processes. One alternative, which is gaining increasing attention within the industry, is the improved control of existing processes by means of intelligent systems. In this paper, an intelligent kiln control system is presented. In the system, neural network models are used in conjunction with advanced high-level controllers based on fuzzy logic principles and a novel linguistic equation approach. Finally, the testing results of the system are presented and discussed.
    Original languageEnglish
    Pages (from-to)589-606
    Number of pages18
    JournalControl Engineering Practice
    Issue number6
    Publication statusPublished - 2001
    MoE publication typeA1 Journal article-refereed


    • emissions
    • energy consumption
    • intelligent systems
    • quality
    • rotary kiln
    • supervisory-level control


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