Artificial Life and Robotics

, Volume 12, Issue 1–2, pp 241–244 | Cite as

PID controller design using double helix structured DNA algorithms with a recovery function

Original Article


PID controllers have been widely used in industrial fields. Since the PID parameters have a great influence on the stability and performance of the control system, many approaches have been proposed to determine them. In this article, we propose double helix structured DNA algorithms to design the type of PID controller and optimize the PID parameters. The double helix structured DNA algorithms employ a DNA encoding method based on a base-64 notational system to represent the PID parameters, define various mutation methods, and have a recovery function to preserve a DNA strand that has good fitness value. A computer simulation shows that we can get satisfactory results with the proposed method.

Key words

DNA algorithms PID controller 


  1. 1.
    Lin C-L, Jan H-Y, Huang T-H (2004) Self-organizing PID control design based on DNA computing method. Proceedings of the IEEE International Conference on Control Applications, IEEE, Taipei, Taiwan, Sep. 2–4, 2004, pp 568–573Google Scholar
  2. 2.
    Ding Y, Ren L (2004) DNA genetic algorithm for design of the generalized membership-typeTakagi-Sugeno fuzzy control system. Proceedings of the IEEE International Conference on Systems, Man, and Cybernetics, IEEE, Nashville, TN, USA, Oct. 8–11, 2000, pp 3862–3867Google Scholar
  3. 3.
    Yourui H, Xiuqiao C, Yihua H (2005) Optimization for parameter of PID based on DNA genetic algorithm. Proceedings of the IEEE International Conference on Neural Networks and Brain, IEEE, Beijing, China, Oct. 13–15, 2005, pp 859–861Google Scholar
  4. 4.
    Klug WS, Cummings MR (2005) Essential of genetics, 5th ed. Pearson Prentice Hall, IEEE, printed in NJ, USAGoogle Scholar

Copyright information

© International Symposium on Artificial Life and Robotics (ISAROB). 2008

Authors and Affiliations

  1. 1.Electrical Engineering and Computer ScienceKorea Advanced Institute of Science and Technology (KAIST)DaejeonKorea

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