Research Article Open Access

Optimum Setting of Controller Using Soft Computing Techniques for a Chemical System

G. Glandevadhas1, S. Pushpakumar2 and S.V. Muruga Prasad3
  • 1 Department of EIE, Noorul Islam Centre for Higher Education, Kumaracoil and Research Scholar,PRIST University, United States
  • 2 Principal Heera College of Engineering and Technology, Nedumangadu, United States
  • 3 Department of ECE, Trivancore Engineering College, United States


Problem statement: The aim of this study is to present an intelligent tuning technique for PID controller that are simple and still result in good closed loop behavior. The idea is to start with a tuned conventional PID controller, replace it with an equivalent intelligent controllers like Fuzzy, ANN, Genetic and PSO techniques implies fine tuned nonlinear PID controller which is most suitable for nonlinear process like Continuous stirred tank reactor. The performance of various optimization techniques and intelligent techniques are compared. Approach: In this study we present soft computing techniques to design and tune the PID controller. The objective is tominimise the steady state error and to obtain the optimum response. Results: The comparisons amoung the Conventional PID, Fuzzy Sliding PID, Simulated Anneling PID and PSO tuned PID controllers PSO PID implies better result for the nonlinear chemical process. Conclusion: With the nonlinear model of CSTR process the PSO tuned PID controller implies the optimum response for both setpoint and load variations.

American Journal of Applied Sciences
Volume 8 No. 11, 2011, 1140-1148


Submitted On: 19 August 2011 Published On: 6 October 2011

How to Cite: Glandevadhas, G., Pushpakumar, S. & Prasad, S. M. (2011). Optimum Setting of Controller Using Soft Computing Techniques for a Chemical System. American Journal of Applied Sciences, 8(11), 1140-1148.

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  • Sliding mode control
  • Continuous Stirred Tank Reactor (CSTR)
  • Particle Swarm Optimization (PSO)
  • chemical reactors
  • Single Input Single Output (SISO)
  • PID controller