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Path Planning Control for 3-Omni Fighting Robot Using PID and Fuzzy Logic Controller

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The International Conference on Advanced Machine Learning Technologies and Applications (AMLTA2019) (AMLTA 2019)

Abstract

This paper addresses a comparison between some control methods of three Omni wheels firefighting robot due to the variety of maneuverability. To achieve path planning for firefighting robot to reach a specific point with the shortest path, a kinematics model of omni wheel robot is applied with some control algorithms based on PID controller, Fuzzy logic controller and self-tuned PID using fuzzy logic techniques. Hardware prototype has been tested to validate the simulation results.

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References

  1. Wang, C., Liu, X., Yang, X., Hu, F., Jiang, A., Yang, C.: Trajectory tracking of an omni-directional wheeled mobile robot using a model predictive control strategy. Appl. Sci. 8(2), 231 (2018)

    Article  Google Scholar 

  2. Zhao, D.B., Qiang, Y.J., Yue, D.X.: Structure and kinematic analysis of omni-directional mobile robots. Robot 25, 394–398 (2003)

    Google Scholar 

  3. Zadeh, L.A.: Fuzzy sets. Inform. Contr. 8(3), 338–353 (1965)

    Article  Google Scholar 

  4. Ahmed, H., Singh, G., Bhardwaj, V., Saurav, S., Agarwal, S.: Controlling of DC motor using fuzzy logic controller. In: Conference on Advances in Communication and Control Systems, pp. 666–670 (2013)

    Google Scholar 

  5. Watanabe, K., Shiraishi, Y., Tzafestas, S.G., Tang, J., Fukuda, T.: Feedback control of an omnidirectional autonomous platform for mobile service robots. J. Intell. Robot. Syst. 22(3–4), 315–330 (1998)

    Article  Google Scholar 

  6. Takei, T., lmamura, R., Yuta, S.: Baggage transportation and navigation by a wheel inverted pendulum mobile robot. IEEE Trans. Ind. Electron. 56, 3985–3994 (2009)

    Article  Google Scholar 

  7. Azar, A.T., Ammar, H.H., Barakat, M.H., Saleh, M.A., Abdelwahed, M.A.: Self-balancing robot modeling and control using two degree of freedom PID controller. In: International Conference on Advanced Intelligent Systems and Informatics, pp. 64–76. Springer, Cham (2018)

    Google Scholar 

  8. Al-Ammri, A.S., Ahmed, I.: Control of omni-directional mobile robot motion. Al-Khwarizmi Eng. J. 6(4), 1–9 (2018)

    Google Scholar 

  9. Li, X., Zell, A.: Motion control of an omnidirectional mobile robot. In: Filipe, J., Cetto, J.A., Ferrier, J.L. (eds.) Informatics in Control, Automation and Robotics. Lecture Notes in Electrical Engineering, vol. 24. Springer, Heidelberg (2009)

    Google Scholar 

  10. Meza, J.L., Santibáñez, V., Soto, R., Llama, M.A.: Fuzzy self-tuning PID semiglobal regulator for robot manipulators. IEEE Trans. Ind. Electron. 59(6), 2709–2717 (2012)

    Article  Google Scholar 

  11. Kessler, C.: Das symmetrische optimum. Regelungstetechnik 6, 432–436 (1958)

    MATH  Google Scholar 

  12. Azar, A.T., Ammar, H.H., Mliki, H.: Fuzzy logic controller with color vision system tracking for mobile manipulator robot. In: Hassanien, A., Tolba, M., Elhoseny, M., Mostafa, M. (eds.) The International Conference on Advanced Machine Learning Technologies and Applications (AMLTA 2018). Advances in Intelligent Systems and Computing, vol. 723, pp. 138–146. Springer, Cham (2018)

    Google Scholar 

  13. Azar, A.T., Vaidyanathan, S.: Advances in system dynamics and control. Advances in Computational Intelligence and Robotics (ACIR) Book Series. IGI Global, USA (2018). ISBN 9781522540779

    Google Scholar 

  14. Zhou, K., Doyle, J.C.: Essentials of robust control, vol. 104. Prentice hall, Upper Saddle River (1998)

    MATH  Google Scholar 

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Correspondence to Ahmad Taher Azar .

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Soliman, M., Azar, A.T., Saleh, M.A., Ammar, H.H. (2020). Path Planning Control for 3-Omni Fighting Robot Using PID and Fuzzy Logic Controller. In: Hassanien, A., Azar, A., Gaber, T., Bhatnagar, R., F. Tolba, M. (eds) The International Conference on Advanced Machine Learning Technologies and Applications (AMLTA2019). AMLTA 2019. Advances in Intelligent Systems and Computing, vol 921. Springer, Cham. https://doi.org/10.1007/978-3-030-14118-9_45

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