Sistem Kontrol Optimal Fuzzy-Particle Swarm Optimization

(Studi Kasus Pada Model Kendaraan Dengan Steer By Wire System)

Authors

  • Fachrudin Hunaini Universitas Widyagama, Malang
  • Imam Robandi Institut Teknologi Sepuluh Nopember
  • Nyoman Sutantra Institut Teknologi Sepuluh Nopember

DOI:

https://doi.org/10.48056/jintake.v9i1.34

Keywords:

Fuzzy Logic, Particle Swarm Optimization, Lateral motion

Abstract

Fuzzy Logic Control (FLC) is a reliable control system for controlling nonlinear systems, but to obtain optimal fuzzy logic control results, optimal Membership Function parameters are needed. Therefore in this paper Particle Swarm Optimization (PSO) is used as a fast and accurate optimization method to determine Membership Function parameters. The optimal control system simulation is carried out on the automatic steering system of the vehicle model and the results obtained are the vehicle's lateral motion error can be minimized so that the movement of the vehicle can always be maintained on the expected trajectory

Author Biographies

Fachrudin Hunaini , Universitas Widyagama, Malang

Teknik Elektro, Universitas Widyagama, Malang, Indonesia

Imam Robandi , Institut Teknologi Sepuluh Nopember

Teknik Elektro, Institut Teknologi Sepuluh Nopember, Surabaya, Indonesia

Nyoman Sutantra , Institut Teknologi Sepuluh Nopember

Teknik Mesin, Institut Teknologi Sepuluh Nopember, Surabaya, Indonesia

Published

2018-04-27

How to Cite

[1]
Fachrudin Hunaini, Imam Robandi, and Nyoman Sutantra, “Sistem Kontrol Optimal Fuzzy-Particle Swarm Optimization: (Studi Kasus Pada Model Kendaraan Dengan Steer By Wire System)”, jintake, vol. 9, no. 1, pp. 1-5, Apr. 2018.

Issue

Vol. 9 No. 1 (2018): April 2018

Section

Articles