Tuning and Analysis of PID Controllers Using Soft Computing Techniques

Authors

  • Bajarangbali  Department of Electronics and Communication, PESIT-Bangalore South CampusHosur Road, Bangalore, Karnataka, India
  • Sujay H S  Department of Electronics and Communication, PESIT-Bangalore South CampusHosur Road, Bangalore, Karnataka, India
  • Suman R  Department of Electronics and Communication, PESIT-Bangalore South CampusHosur Road, Bangalore, Karnataka, India
  • Chaithanya S  Department of Electronics and Communication, PESIT-Bangalore South CampusHosur Road, Bangalore, Karnataka, India
  • Narayanan S  Department of Electronics and Communication, PESIT-Bangalore South CampusHosur Road, Bangalore, Karnataka, India
  • Shamanth U  

Keywords:

Genetic Algorithm (GA), Particle Swarm Optimization (PSO), IAE (Integral Absolute Error), ITAE (Integral Time Absolute Error), ISE (Integral Squared Error).

Abstract

In this paper, we are looking at a method to tune a PID controller given that we know the system transfer function beforehand. Here we will be tuning the controller using soft computing methods which involve Particle Swarm Optimization (PSO) and Genetic Algorithms (GA). These techniques like PSO and GA are very well known to find the best global minima. Thus, such a feature of these techniques is used to minimize the errors such as IAE (Integral Absolute Error), ITAE (Integral Time Absolute Error) and ISE (Integral Squared Error). By reducing the errors, the best value for the three PID parameters, Kp, Ki and Kd are determined. The PID controller will be tuned for linear processes with and without time delay.

References

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International Journal of Scientific Research in Science and Technology

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Published

2018-05-05

Issue

Volume 5, Issue 3, May-June-2018

Section

Research Articles

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Copyright (c) IJSRST

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This work is licensed under a Creative Commons Attribution 4.0 International License.

How to Cite

[1]
Bajarangbali, Sujay H S, Suman R, Chaithanya S, Narayanan S, Shamanth U, " Tuning and Analysis of PID Controllers Using Soft Computing Techniques , International Journal of Scientific Research in Science and Technology(IJSRST), Online ISSN : 2395-602X, Print ISSN : 2395-6011, Volume 5, Issue 3, pp.67-71, May-June-2018.