A second generation current conveyor based PID controller optimized using a crossover improved genetic algorithm

  • Vijay Kumar VermaEmail author
  • Rajeev Kumar Ranjan
  • V. Lekshmi
  • Ankit Kumar Azad
  • Bhargav Appasani
  • Vijay Nath
Technical Paper


This article presents a second generation current conveyor (CCII) based PID controller that has been optimally designed using a crossover improved genetic algorithm (CIGA). PID controller is widely adopted in practical industrial applications and the current conveyors are being favored because of their enhanced characteristics. Thus, designing a PID controller using the current conveyors would augment its performance. Another unique aspect of the reported research work is the utilization of a crossover improved genetic algorithm for finding the controller’s transfer function. The controller has been optimally designed taking into consideration the unit step response characteristics. Subsequently, AD844 IC was used for practical implementation of the controller and the experimental observations are reported, which are found to be in good agreement with simulation as well as theoretical results.



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Copyright information

© Springer-Verlag GmbH Germany, part of Springer Nature 2019

Authors and Affiliations

  1. 1.Control and Digital Electronics GroupU R Rao Satellite Centre (ISRO)BangaloreIndia
  2. 2.Department of Electronics EngineeringIndian Institute of Technology (ISM)DhanbadIndia
  3. 3.School of Electronics EngineeringKalinga Institute of Industrial TechnologyBhubaneswarIndia
  4. 4.Department of Electronics and CommunicationBirla Institute of TechnologyRanchiIndia

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