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Precision Motion Control Method Based on Artificial Bee Colony Algorithm

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Harmony Search Algorithm

Part of the book series: Advances in Intelligent Systems and Computing ((AISC,volume 382))

Abstract

The parameters of traditional PID controller cannot varies with load and environment for the precision motion control system. In this paper, an efficient scheme for proportional-integral-derivation (PID) controller using bee colony algorithm is applied to precision motion control system. The simulation results show that the feasibility of bee colony PID control algorithm in precision motion field. Furthermore, the bee colony PID control algorithm make the precision motion control system has faster response speed, high positioning accuracy, and its parameters can optimize automatically.

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References

  1. Chen, M.Y., Liu, J.S.: High-precision motion control for a linear permanent magnet iron core synchronous motor drive in position platform. IEEE T. Ind. Inform. (2014). doi:10.1109/TII.2013.2247044

    Google Scholar 

  2. Liu, C.F., Du, Z.T.: Immune control for permanent magnet synchronous linear servo system of CNC machine. J. Shenyang Uni. Tech. (2015). doi:10.7688/j.issn.1000-1646.2015.01.01

  3. Chen, M.F., Zou, P., Han, G., Hou, B.M.: Research on NC auxiliary ultra-precision positioning work platform. J. Northeastern Uni. (Natural Science) 34, 875–879 (2013)

    Google Scholar 

  4. Liaw, H.C., Oetom, D., Shirinzadeh, B., Alici, G.: Adaptive control strategy for micro/nano manipulation systems. In: 9th International Conference on Intelligent Autonomous Systems, pp. 375-382 (2006)

    Google Scholar 

  5. Zhang, J.L., Liu, Y., Guo, Y.Q., Liu, J.N.: Research on ultra-precision nanopositioning stage. J. Mech. Eng. (2011). doi:10.3901/JME.2011.09.187

    Google Scholar 

  6. Zhang, D., Zhang, C.J., Wei, Q., Tian, Y.B.: Modeling and control of piezo-stage using neural networks. Optics and Precision Engineering (2012). doi:10.3788/OPE.20122003.0587

    Google Scholar 

  7. Liu, J.Y., Yin, W.S., Zhu, Y.: Application of adaptive fuzzy PID controller to nano-scale precision motion stage system. Control Engineering of China 18, 254–257 (2011)

    Google Scholar 

  8. Wei, Q., Zhang, Y.L., Hao, H.J., Lu, W.J.: Control of STM micro-displacement stage based on genetic neural network. Microfabrication Technology, 10–14 (2006)

    Google Scholar 

  9. Zhou, Y., Su, Y.Q., Pian, J.X., Yao, X.X.: Design and implementation of multifunctional monitoring platform in nano-displacement positioning control system. Manufacturing Automation (2013). doi:10.3969/j.issn.1009-0134.2013.11.09

  10. Zhou, Y., Yao, X.X., Pian, J.X., Sun, L.J.: Precision motion monitoring software design and development. Control Engineering of China 21, 1–5 (2014)

    Google Scholar 

  11. Li, G.C., Yang, P., Wang, S.E.: Study on optimal method for PID parameter based on artificial bee colony algorithm. In: 2014 International Conference on Mechatronics, Materials and Manufacturing (2014). doi:10.4028/www.scientific.net/AMM.624.454

    Google Scholar 

  12. Zhong, W.Q., Zhang, Y.B., Li, X.Y., Zheng, C.S.: Hole machining path planning optimization based on dynamic tabu artificial bee colony algorithm. Research Journal of Applied Sciences, Engineering and Technology 5, 1454–1460 (2013)

    Google Scholar 

  13. Bi, X.J., Wang, Y.J.: A modified artificial bee colony algorithm and its application. Journal of Harbin Engineering University 33, 117–123 (2012)

    MathSciNet  Google Scholar 

  14. Xiao, S.L., Li, Y.M., Liu, J.G.: A model reference adaptive PID control for electromagnetic actuated micro-positioning stage. In: 8th IEEE International Conference on Automation Science and Engineering, pp. 97–102 (2012)

    Google Scholar 

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Correspondence to Jinxin Liu .

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Pian, J., Wang, D., Zhou, Y., Liu, J., Qi, Y. (2016). Precision Motion Control Method Based on Artificial Bee Colony Algorithm. In: Kim, J., Geem, Z. (eds) Harmony Search Algorithm. Advances in Intelligent Systems and Computing, vol 382. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-662-47926-1_4

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  • DOI: https://doi.org/10.1007/978-3-662-47926-1_4

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  • Publisher Name: Springer, Berlin, Heidelberg

  • Print ISBN: 978-3-662-47925-4

  • Online ISBN: 978-3-662-47926-1

  • eBook Packages: EngineeringEngineering (R0)

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