Advertisement

Optimal Proportional Integral Derivative (PID) Controller Design for Smart Irrigation Mobile Robot with Soil Moisture Sensor

  • Ahmad Taher AzarEmail author
  • Hossam Hassan Ammar
  • Gabriel de Brito Silva
  • Mohd Saiful Akmal Bin Razali
Conference paper
Part of the Advances in Intelligent Systems and Computing book series (AISC, volume 921)

Abstract

Uncertainty on the condition of the weather always give a major headache to the agricultural industry as the cultivated plant that is grown on a large scale commercially rely on the condition of the weather. Therefore, to reduce the interdependency on the weather itself, a recommendation to develop a prototypic mobile robot for smart irrigation is submitted. Smart irrigation system is an essential tool from yield point of view and scarcity of the water. This smart irrigation system adopts a soil moisture sensor to measure the moisture content of the soil and automatically provide a signal to switches the water pump when the power is on. This mobile robot uses a tracked vehicle as the chassis of the robot whereby two parallel forces of motion are controlled to create a linear and rotation motion of the wheel. Besides, ultrasonic sensor is also assembled on this prototypic design to avoid any object or obstacles during the movement of the mobile robot. The novelty of this study is to demonstrate that the smart irrigation mobile robot can be used, not only to provide water to the crops but also, to reduce water usage. In this research, 2-Degree of Freedom Proportional Integral Derivative (2-DOF PID) controller is proposed for smart irrigation mobile robot after comparison between optimal 1-Degree of Freedom Proportional Integral Derivative (1-DOF PID) to acquire the best controller. Further investigation of controller effort, disturbance rejection and reference tracking are implemented to validate the capability of the proposal within the parameter of the system itself.

Keywords

Optimal PID 1-DOF PID 2-DOF PID Smart irrigation mobile robot Soil moisture sensor 

References

  1. 1.
    Maisiri, N., Senzanje, A., Rockstrom, J., Twomlow, S.J.: On farm evaluation of the effect of low cost drip irrigation on water and crop productivity compared to conventional surface irrigation system. Phys. Chem. Earth Parts A/B/C 30(11–16), 783–791 (2005)CrossRefGoogle Scholar
  2. 2.
    Wiesner, C.J.: Climate, irrigation and agriculture (1970)Google Scholar
  3. 3.
    Bigot, Y., Bigot, Y., Binswanger, H.P.: Agricultural Mechanization and the Evolution of Farming Systems in Sub-Saharan Africa. Johns Hopkins University Press, Baltimore (1987)Google Scholar
  4. 4.
    Li, H., Li, L., Wu, B., Xiong, Y.: The end of cheap Chinese labor. J. Econ. Perspect. 26(4), 57–74 (2012)CrossRefGoogle Scholar
  5. 5.
    Ćulibrk, D., Vukobratovic, D., Minic, V., Fernandez, M.A., Osuna, J.A., Crnojevic, V.: Sensing Technologies for Precision Irrigation. Springer, New York (2014)CrossRefGoogle Scholar
  6. 6.
    Kumar, A., Kamal, K., Arshad, M.O., Mathavan, S., Vadamala, T.: Smart irrigation using low-cost moisture sensors and XBee-based communication. In: 2014 IEEE Global Humanitarian Technology Conference (GHTC), pp. 333–337. IEEE, October 2014Google Scholar
  7. 7.
    Aguilar, R.B., Ecija, E.B., Medalla, M.M., Morales, R.F.N., Platon, C.A.P., Rodrigo, J.A., Caldo, R.B.: Automatic soil moisture sensing water irrigation system with water level indicator. Adv. Sci. Lett. 23(5), 4505–4508 (2017)CrossRefGoogle Scholar
  8. 8.
    Ji, X., Tang, F.: The study and development of system for automatic irrigation. Irrig. Drain. 21(4), 25–27 (2002)Google Scholar
  9. 9.
    Cui, Y.: Technology and Application of Water Saving Irrigation, pp. 345–349. Chemical Industry Press, Beijing (2005)Google Scholar
  10. 10.
    Liu, G., Sun, J.: The development and application of automatic system for irrigation management. Irrig. Drain. 20(1), 65–68 (2001)Google Scholar
  11. 11.
    Li, K., Mao, H., Li, B.: The development of automatic system for irrigation and fertilization. J. Jiangsu Univ. Sci. Technol. (Nat. Sci.) 22(1), 12–15 (2001)Google Scholar
  12. 12.
    Yeo, T.L., Sun, T., Grattan, K.T.V.: Fibre-optic sensor technologies for humidity and moisture measurement. Sens. Actuators A Phys. 144(2), 280–295 (2008)CrossRefGoogle Scholar
  13. 13.
    Dillon, J.L., Hardaker, J.B.: Farm Management Research for Small Farmer Development, vol. 41. Food & Agriculture Org (1980)Google Scholar
  14. 14.
    Azar, A.T., Hassan, H., Razali, M.S.A.B., de Brito Silva, G., Ali, H.R.: Two-degree of freedom proportional integral derivative (2-DOF PID) controller for robotic infusion stand. In: International Conference on Advanced Intelligent Systems and Informatics, pp. 13–25. Springer, Cham, September 2018Google Scholar
  15. 15.
    Immega, G., Antonelli, K.: The KSI tentacle manipulator. In: Proceedings of the 1995 IEEE International Conference on Robotics and Automation, vol. 3, pp. 3149–3154. IEEE, May 1995Google Scholar
  16. 16.
    Adar, N.G., Kozan, R.: Comparison between real time PID and 2-DOF PID controller for 6-DOF robot arm. Acta Phys. Polonica A 130(1), 269–271 (2016)CrossRefGoogle Scholar

Copyright information

© Springer Nature Switzerland AG 2020

Authors and Affiliations

  • Ahmad Taher Azar
    • 1
    • 2
    Email author
  • Hossam Hassan Ammar
    • 1
  • Gabriel de Brito Silva
    • 1
  • Mohd Saiful Akmal Bin Razali
    • 1
  1. 1.School of Engineering and Applied SciencesNile University6th of October CityEgypt
  2. 2.Faculty of Computers and InformationBenha UniversityBanhaEgypt

Personalised recommendations