Fuzzy-Tuned SIMC Controller for Level Control Loop

  • Ujjwal Manikya NathEmail author
  • Chanchal Dey
  • Rajani K. Mudi
Conference paper
Part of the Lecture Notes in Networks and Systems book series (LNNS, volume 11)


Internal model control (IMC) technique is one of the well-accepted model-based controller designing methodologies which is widely used in process industries due to their simplicity and ease of tuning. Most of the IMC tuning provides good set point response but unsatisfactory load rejection behavior. To overcome this limitation for industrial processes SIMC technique is reported in the literature. In this technique, to derive the SIMC controller expression, higher order processes are approximated as first-order plus time delay model. Hence, uncertainty is always there in process modeling and as a result SIMC controller may fail to provide the satisfactory performance with conventional fixed tuning. A fuzzy-tuned SIMC controller is reported here to surmount this drawback and its efficacy is established through real-life experimentation on a laboratory-based level control loop.


SIMC controller Fuzzy auto-tuner Model identification Level control process 


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Copyright information

© Springer Nature Singapore Pte Ltd. 2018

Authors and Affiliations

  • Ujjwal Manikya Nath
    • 1
    Email author
  • Chanchal Dey
    • 2
  • Rajani K. Mudi
    • 1
  1. 1.Department of Instrumentation and Electronics EngineeringJadavpur UniversityKolkataIndia
  2. 2.Department of Applied Physics Instrumentation and Control EngineeringUniversity of CalcuttaKolkataIndia

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