Dynamic modeling of heating furnace & enhancing the performance with PIλDμ controller for fractional order model using optimization techniques

Amlan Basu, Sumit Mohanty, Rohit Sharma

Research output: Chapter in Book/Report/Conference proceedingConference contribution book

Abstract

Over the year heating furnace system has always suffered a huge loss of heat energy the line of safety of man power. The flow of fuel into chamber of furnace, basically limits the gas pressure inside furnace. So, proper relation between fuel flow rate and gas pressure inside furnace is essential to ensure a proper utilization of heat with minimum settling time and minimum overshoot, so that safety is not compromised. This paper enlightens design of a proper integer order model (IOM) of heating furnace which is further converted into a fractional order model (FOM). This fractional order model is used with PID controllers in closed loop. For enhancing the performance of PID controller, fractional elements are used. Therefore, PIλDμ controller is optimized properly for a smooth, low overshoot response with a very low settling time. These proposed results may be implemented properly in small scale furnaces or large scale industrial furnaces.
Original languageEnglish
Title of host publicationEmerging Trends in Electrical Electronics & Sustainable Energy Systems (ICETEESES), International Conference on
Place of PublicationPiscataway, NJ.
PublisherIEEE
Pages164-168
Number of pages5
ISBN (Electronic)9781509021185
DOIs
Publication statusPublished - 6 Oct 2016

Keywords

  • Grunwald-Letnikov
  • active-set
  • interior-point
  • FOPID
  • Sequential Quadratic Programming (SQP)
  • Nelder-Mead

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    Basu, A., Mohanty, S., & Sharma, R. (2016). Dynamic modeling of heating furnace & enhancing the performance with PIλDμ controller for fractional order model using optimization techniques. In Emerging Trends in Electrical Electronics & Sustainable Energy Systems (ICETEESES), International Conference on (pp. 164-168). IEEE. https://doi.org/10.1109/ICETEESES.2016.7581378