PENGENDALIAN KELAJUAN KENDARAAN MENGGUNAKAN FUZZY LOGIC CONTROLLER (FLC) PADA SISTEM CRUISE KONTROL

S. Susanto(1), S. Sunarno(2),

DOI: https://doi.org/10.15294/ijmns.v39i1.7698


(1) Jurusan Fisika, FMIPA, Universitas Negeri Semarang, Indonesia
(2) Jurusan Fisika, FMIPA, Universitas Negeri Semarang, Indonesia

Abstract

Pengendalian kelajuan kendaraan menggunakan FLC pada cruise control telah dilakukan dengan menginjeksi sistem fuzzy pada sistem gerak kendaraan. Sistem fuzzy terdiri dari dua himpunan masukan berupa error kelajuan dan laju error kelajuan sistem. Penambahan Fuzzy Logic Controller pada sistem gerak kendaraan berpengaruh terhadap respon sistem untuk mencapai kecepatan yang diinginkan. Dengan penambahan FLC respon kecepatan dalam mencapai kecepatan yang diinginkan semakin cepat sehingga sesuai untuk diterapkan pada cruise control.

Control vehicle speed using the cruise control FLC has been done by injecting a fuzzy system on the vehicle motion system. The system consists of two sets fuzzy input is the speed error and the error rate of the speed of the system. The addition of Fuzzy Logic Controller in the vehicle motion system affect the response of the system to achieve the desired speed. With the addition of FLC response speed in reaching the desired speed more quickly so appropriate to be applied to the cruise control.

Keywords

VLC; cruise control; footed

Full Text:

PDF

References

Osman K, Rahmat MF & Ahmad MA. 2009. Modelling and Controller Design for a Cruise Control System, International Colloquium on signal Processing and Its Application (CSPA)

Yi K, Jinho H & Kwon YD. 2001. A vehicle control algorithm for stop-and-go cruise control. Proceedings of the Institution of Mechanical Engineers, Part D: Journal of Automobile Engineering 215 (10): 1099-1115.

Carvajal J, Chen G & Ogmen H. 2000. Fuzzy PID controller: Design, performance evaluation, and stability analysis. Information Sciences 123(3): 249-270.

Ying H, Siler W & Buckley JJ. 1990. Fuzzy control theory: a nonlinear case. Automatica 26(3) 513-520.

Sunarno. 2004. Simulasi Sistem Pendulum Fuzzy dan Konvensional. Universitas Gajah Mada. Tesis

Mellom C.1997. Control Tutorial for Matlan, Website of University of Michigan. http://ctms.engin.umich.edu/CTMS/index.php?example=CruiseControl&section=SimulinkModeling

Refbacks

  • There are currently no refbacks.


Bookmark and Share


Creative Commons License
This work is licensed under a Creative Commons Attribution 4.0 International License.