A DNA-PID Controller for an Industry Robot

Du Kun Ding; Long Gen Li; Cun Xi Xie; Tie Zhang

doi:10.4028/www.scientific.net/AMR.461.109

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HomeAdvanced Materials ResearchAdvanced Materials Research Vol. 461A DNA-PID Controller for an Industry Robot

A DNA-PID Controller for an Industry Robot

Abstract:

In this paper, a DNA-PID controller is proposed for a 6-DOF robot. The experimental robot system has firstly been setup. Then the PID controllers of the robot joints are designed. Due to DNA algorithm’s excellent computing characteristics, it is researched and used to set the PID parameters on line, which are the proportional coefficient, the integral coefficient and the differential coefficient. To test the controllers, several experiments are performed. The computer simulation results show that the DNA-PID controllers have faster respond speed and less overshot, which can meet the need of robot control

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Periodical:

Advanced Materials Research (Volume 461)

Pages:

109-112

DOI:

https://doi.org/10.4028/www.scientific.net/AMR.461.109

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Online since:

February 2012

Authors:

Du Kun Ding, Long Gen Li, Cun Xi Xie, Tie Zhang

Keywords:

DNA, DNA-PID, Robot

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References

[1] HAN Guangchao, ZHANG Haiou, WANG Guilan: A Robotic Machining and Forming System for Rapid Spray Metal Tooling. J. Robot, 28, 515-524(2006).

Google Scholar

[2] TOPALOV A V, KAYNAK O, AYDIN G.: Neuro-adaptive sliding-mode tracking control of robot manipulators.J. International Journal of Adaptive Control and Signal Processing, 21, 674-691(2007).

DOI: 10.1002/acs.982

Google Scholar

[3] PETRONILHO A, SIQUEIRA ADRIANO A G, TERRA MARCO H. : Adaptive [script H]infinity tracking control design via neural networks of a constrained robot system. In: Proceedings of the 44th IEEE Conference on Decision and Control, pp.5528-5533. IEEE press, New York(2005).

DOI: 10.1109/cdc.2005.1583042

Google Scholar

[4] Nahapetian N, Motlagh M.R. Jahed, Analoui, M.: PID gain tuning using genetic algorithms and fuzzy logic for robot manipulator control. In: Proceedings - International Conference on Advanced Computer Control, pp.346-350. IEEE Press , New York(2009).

DOI: 10.1109/icacc.2009.127

Google Scholar

[5] WEN Shuhuan, YANG Hua: Fuzzy adaptive PD control for robot and experiment study. In: Proceedings of the 2005 International Conference on Machine Learning and Cybernetics, p.834—839. IEEE Press , New York(2005).

DOI: 10.1109/icmlc.2005.1527059

Google Scholar

[6] Leonard M. Adleman: Molecular Computation of Solution to Combinatorial Problems.J. Science, 266, 1021—1024(1994).

Google Scholar

[7] Jan Horn-Yong, Lin Chun-Liang, Hwang Thong-Shing: Self-organized PID control design using DNA computing approach.J. Journal of the Chinese Institute of Engineers, 29, 251-261(2006).

DOI: 10.1080/02533839.2006.9671122

Google Scholar

[8] PAUN G, ROZENGERG G, SALOMAA A.: DNA Computing. Bei Jing(2004).

Google Scholar