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Mathematical modelling and optimization of PVC powder blending process for development of multilevel, optimized process control system

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System Modelling and Optimization

Part of the book series: Lecture Notes in Control and Information Sciences ((LNCIS,volume 84))

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Abstract

For optimized, multi-level process control system mathematical model of PVC powder blending process in high speed mixers was developed. For mathematical modelling of PVC powder blending process basic parameters of elementary processes were determined. On base of process analysis and data collection from PVC powder blending process in industrial high speed mixers with help of microcomputer determined most important factors from point of wiew of process control.

On base of energy balance of blending process and semi-empirical formulas of power consumption of mixers here suggested an mathematical model, which describes temperature changes and power consumption of high speed mixers during mixing process.

Formulated the optimization task: minimizing of consumed energy for production of PVC compound and maximizing of production capacity of mixers. Developed an optimization algorithm, which makes possible to control the blending process according to selected objectiv function. Suggested a new, multi-level structure of process control system for PVC powder blending, which uses developed mathematical model and optimization algorithm. Developed an supervison control program, which realises the upper level of optimized, multilevel on-line, real-time microprocessor based control system.

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A. Prékopa J. Szelezsáan B. Strazicky

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© 1986 Springer-Verlag

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Abraham, J., Perov, V., Nyiri, K., Iklodi, L., Kaposzta, I. (1986). Mathematical modelling and optimization of PVC powder blending process for development of multilevel, optimized process control system. In: Prékopa, A., Szelezsáan, J., Strazicky, B. (eds) System Modelling and Optimization. Lecture Notes in Control and Information Sciences, vol 84. Springer, Berlin, Heidelberg. https://doi.org/10.1007/BFb0043818

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  • DOI: https://doi.org/10.1007/BFb0043818

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  • Publisher Name: Springer, Berlin, Heidelberg

  • Print ISBN: 978-3-540-16854-6

  • Online ISBN: 978-3-540-47138-7

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