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A hybrid biogeography-based particle swarm optimisation technique for controlling modified quadruple tank process

Author

Listed:
  • Sutha Sangapillai
  • Lakshmi Ponnusamy
  • Sankaranarayanan Sekaran

Abstract

The paper presents a biogeography-based optimisation (BBO), particle swarm optimisation (PSO) and proposed hybrid biogeography-based optimisation-particle swarm optimisation (BBO-PSO) for optimising proportional integral (PI) controller parameters for the level control of bottom two tanks in a modified quadruple tank process (MQTP). The simulation results are presented to prove the effectiveness of the proposed hybrid algorithm for minimising the objective function. The hybrid BBO-PSO has significant performance improvements in servo, regulatory and robustness responses.

Suggested Citation

  • Sutha Sangapillai & Lakshmi Ponnusamy & Sankaranarayanan Sekaran, 2016. "A hybrid biogeography-based particle swarm optimisation technique for controlling modified quadruple tank process," International Journal of Enterprise Network Management, Inderscience Enterprises Ltd, vol. 7(1), pages 42-54.
    • Handle: RePEc:ids:ijenma:v:7:y:2016:i:1:p:42-54
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