Open AccessMulti-objective Optimization of Vehicle Speed Control using Gravitational Search Algorithm for Electro-Mechanical Continuously Variable Transmission
Author(s) -
Khisbullah Hudha,
Nur Rashid Mat Nuri,
Saiful Amri Mazlan
Publication year - 2019
Publication title -
iop conference series. materials science and engineering
Language(s) - English
Resource type - Journals
eISSN - 1757-899X
pISSN - 1757-8981
DOI - 10.1088/1757-899x/530/1/012031
Subject(s) - pid controller , continuously variable transmission , controller (irrigation) , matlab , transmission (telecommunications) , control theory (sociology) , software , computer science , variable (mathematics) , control variable , electronic speed control , vehicle dynamics , algorithm , simulation , automotive engineering , control engineering , engineering , control (management) , mathematics , temperature control , telecommunications , agronomy , mathematical analysis , electrical engineering , artificial intelligence , machine learning , biology , programming language , operating system
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.