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Multi-Objective Optimization of PID Controller for Coupled-Tank Liquid-Level Control System Using Genetic Algorithm

  • Sanjay Kr. Singh
  • Nitish Katal
  • S. G. Modani
Conference paper
Part of the Advances in Intelligent Systems and Computing book series (AISC, volume 236)

Abstract

The main aim of this chapter is to obtain optimal gains for a PID controller using multi-objective genetic algorithm used in a coupled-tank liquid-level control system. Liquid level control system is a nonlinear system and finds a wide application in petrochemical, food processing, and water treatment industries, and the quality of control directly affects the quality of products and safety. This chapter employs the use of multi-objective genetic algorithm for the optimization of the PID gains for better plant operations in contrast to conventional tuning methods and GA. The simulations indicate that better performance is obtained in case of multi-objective genetic algorithm-optimized PID controller.

Keywords

PID controller Multi-objective genetic algorithm PID optimization Liquid level control 

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Copyright information

© Springer India 2014

Authors and Affiliations

  • Sanjay Kr. Singh
    • 1
  • Nitish Katal
    • 2
  • S. G. Modani
    • 3
  1. 1.Department of ECEAnand International College of EngineeringJaipurIndia
  2. 2.Department of ECEASET, Amity UniversityJaipurIndia
  3. 3.Malaviya National Institute of TechnologyJaipurIndia

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