Multi-objective Optimization of Vehicle Speed Control using Gravitational Search Algorithm for Electro-Mechanical Continuously Variable Transmission

International Conference on Recent Advances in Industrial Engineering and Manufacturing

工业技术（总论）

Hudha, K.^1 ; Nuri, N.R.M.^2^3 ; Mazlan, S.A.^3

Faculty of Engineering, Universiti Pertahanan Nasional Malaysia, Kem Sungai Besi, Kuala Lumpur

57000, Malaysia^1

Faculty of Engineering Technology, Universiti Teknikal Malaysia Melaka, Hang Tuah Jaya, Durian Tunggal, Melaka

76100, Malaysia^2

Malaysia-Japan International Institute of Technology, Universiti Teknologi Malaysia Kuala Lumpur, Jalan Sultan Yahya Petra, Kuala Lumpur

54100, Malaysia^3

关键词: Automatic transmission;    Continuously variable transmission;    Continuously variable transmission systems;    Gravitational search algorithm (GSA);    Gravitational search algorithms;    Matlab/Simulink software;    Proportional , integral and derivative controllers;    Vehicle speed controls;   

Others  :  https://iopscience.iop.org/article/10.1088/1757-899X/530/1/012031/pdf
DOI  :  10.1088/1757-899X/530/1/012031

学科分类：工业工程学

来源: IOP

【 摘 要 】

This paper describes the application of the Gravitational Search Algorithm (GSA) for the optimization of the vehicle speed control in the longitudinal vehicle model equipped with Continuously Variable Transmission (CVT) system. In this study, multi-objective procedure which are to minimize the vehicle speed error and fuel usage has been proposed. For comparing and analysing the optimization results, CVT and Automatic Transmission (AT) are placed in the vehicle transmission model separately, and the Proportional, Integral and Derivative (PID) controller is implemented to control the vehicle speed. The simulation work is modelled and performed using MATLAB/Simulink software. Overall, the results show that the vehicle speed transient responses and fuel usage optimized by GSA are better than the values gained from PID controller.