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Optimization of Single Input Fuzzy Logic Controller Using PSO for Unmanned Underwater Vehicle

  • Mohd Shahrieel Mohd ArasEmail author
  • Shahrum Shah Abdullah
  • Hazriq Izuan Jaafar
  • Ahmad Anas Yusof
  • Mohd Zaidi Mohd Tumari
  • Ho Gui Yan
Conference paper
Part of the Lecture Notes in Electrical Engineering book series (LNEE, volume 538)

Abstract

This paper describes the optimization technique using Particle Swarm Optimization (PSO) are applied to tune parameter of Single Input Fuzzy Logic Controller (SIFLC) for depth control of the Unmanned Underwater Vehicle (UUV). Two parameter SIFLC will be considered to tune the parameter based on off-line results for PSO algorithm to give a best system response in terms of overshoot and rise time. The parameter after look-up table will be fixed because the gain obtained by using the PSO algorithm is almost the same. This paper also investigated the parameter of look-up table for five input rules. Simulation is conducted within MATLAB/Simulink environment to verify the performance of the controller. It is demonstrated that the controller is effective to move the UUV as fast as possible to the desired depth with the best response system in terms of zero overshoot and 5 s rise time performances.

Keywords

Particle swarm optimization, single input fuzzy logic controller Unmanned underwater vehicle 

Notes

Acknowledgements

Special appreciation and gratitude to the honorable University (Universiti Teknikal Malaysia Melaka, UTeM and Universiti Teknologi Malaysia, UTM) especially to the both Faculties of Electrical Engineering for providing the financial as well as moral support to complete this project successfully.

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Copyright information

© Springer Nature Singapore Pte Ltd. 2019

Authors and Affiliations

  • Mohd Shahrieel Mohd Aras
    • 1
    Email author
  • Shahrum Shah Abdullah
    • 2
  • Hazriq Izuan Jaafar
    • 1
  • Ahmad Anas Yusof
    • 3
  • Mohd Zaidi Mohd Tumari
    • 4
  • Ho Gui Yan
    • 1
  1. 1.Fakulti Kejuruteraan ElektrikUniversiti Teknikal Malaysia MelakaDurian TunggalMalaysia
  2. 2.Department of Electric and ElectronicsMalaysia-Japan International Institute of Technology, Universiti Teknologi MalaysiaKuala LumpurMalaysia
  3. 3.Fakulti Kejuruteraan MekanikalUniversiti Teknikal Malaysia MelakaDurian TunggalMalaysia
  4. 4.Fakulti Teknologi Kejuruteraan Elektrik dan ElektronikUniversiti Teknikal Malaysia MelakaDurian TunggalMalaysia

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