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Multiloop FOPID Controller Design for TITO Process Using Evolutionary Algorithm

Author

Listed:
  • Lakshmanaprabu S.K.

    (B S Abdur Rahman Crescent Institute of Science and Technology, Chennai, India)

  • Najumnissa Jamal D.

    (B S Abdur Rahman Crescent Institute of Science and Technology, Chennai, India)

  • Sabura Banu U.

    (B S Abdur Rahman Crescent Institute of Science and Technology, Chennai, India)

Abstract

In this article, the tuning of multiloop Fractional Order PID (FOPID) controller is designed for Two Input Two Output (TITO) processes using an evolutionary algorithm such as the Genetic algorithm (GA), the Cuckoo Search algorithm (CS) and the Bat Algorithm (BA). The control parameters of FOPID are obtained using GA, CS, and BA for minimizing the integral error criteria. The main objective of this article is to compare the performance of the GA, CS, and BA for the multiloop FOPID controller problem. The integer order internal model control based PID (IMC-PID) controller is designed using the GA and the performance of the IMC-PID controller is compared with the FOPID controller scheme. The simulation results confirm that BA offers optimal controller parameter with a minimum value of IAE, ISE, ITAE with faster settling time.

Suggested Citation

  • Lakshmanaprabu S.K. & Najumnissa Jamal D. & Sabura Banu U., 2019. "Multiloop FOPID Controller Design for TITO Process Using Evolutionary Algorithm," International Journal of Energy Optimization and Engineering (IJEOE), IGI Global, vol. 8(3), pages 117-130, July.
    • Handle: RePEc:igg:jeoe00:v:8:y:2019:i:3:p:117-130
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