Dynamic system control of gas jet flames distribution by predictive control method

Xubin Sun, Hong Wang

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

    Abstract

    This paper presents a predictive control method to the output probability density function (PDF) control for a dynamic flame system. The system consists of a static temperature model of gas jet flames and a second order actuator which leads the closed loop system to be a second order dynamic one. At first, the temperature distribution of the flame along the cross section is approximated. Then the Flame Energy Distribution (FED) is obtained as the output to be controlled as approximated by a B-spline expansion. A singular state space model is used to describe the dynamic system with the weights of the B-spline functions as the state variables. Finally, a predictive control algorithm is designed for such an output PDF system. A case study has been included in this paper on the closed loop control of the combustion flames distribution systems. ©2005 IEEE.
    Original languageEnglish
    Title of host publicationProceedings of the 20th IEEE International Symposium on Intelligent Control, ISIC '05 and the 13th Mediterranean Conference on Control and Automation, MED '05|Proc. IEEE Int. Symp. Intell. Control Mediterranean Conf. Control Autom.
    Pages1458-1463
    Number of pages5
    Volume2005
    DOIs
    Publication statusPublished - 2005
    Event20th IEEE International Symposium on Intelligent Control, ISIC '05 and the13th Mediterranean Conference on Control and Automation, MED '05 - Limassol
    Duration: 1 Jul 2005 → …

    Conference

    Conference20th IEEE International Symposium on Intelligent Control, ISIC '05 and the13th Mediterranean Conference on Control and Automation, MED '05
    CityLimassol
    Period1/07/05 → …

    Keywords

    • Flame distributions
    • Predictive control
    • Probability density function control
    • Singular state space models and dynamic stochastic systems

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