Strathprints Home | Open Access | Browse | Search | User area | Copyright | Help | Library Home | SUPrimo

Shaping of molecular weight distribution by iterative learning probability density function control strategies

Yue, H. and Wang, H. and Zhang, J. (2008) Shaping of molecular weight distribution by iterative learning probability density function control strategies. Journal of Systems and Control Engineering, 222 (7). pp. 639-653. ISSN 0959-6518

[img]
Preview
PDF - Published Version
Download (510Kb) | Preview

    Abstract

    A mathematical model is developed for the molecular weight distribution (MWD) of free-radical styrene polymerization in a simulated semi-batch reactor system. The generation function technique and moment method are employed to establish the MWD model in the form of Schultz-Zimmdistribution. Both static and dynamic models are described in detail. In order to achieve the closed-loop MWD shaping by output probability density function (PDF) control, the dynamic MWD model is further developed by a linear B-spline approximation. Based on the general form of the B-spline MWD model, iterative learning PDF control strategies have been investigated in order to improve the MWD control performance. Discussions on the simulation studies show the advantages and limitations of the methodology.

    Item type: Article
    ID code: 19433
    Keywords: molecular weight distribution (MWD), B-spline model, probability density function (PDF), iterative learning control (ILC), Electrical engineering. Electronics Nuclear engineering, Engineering (General). Civil engineering (General)
    Subjects: Technology > Electrical engineering. Electronics Nuclear engineering
    Technology > Engineering (General). Civil engineering (General)
    Department: Faculty of Engineering > Electronic and Electrical Engineering
    Related URLs:
      Depositing user: Strathprints Administrator
      Date Deposited: 25 May 2010 10:27
      Last modified: 14 Jan 2014 15:31
      URI: http://strathprints.strath.ac.uk/id/eprint/19433

      Actions (login required)

      View Item

      Fulltext Downloads: