TY  - JOUR
T1  - Comparison of Neural Network NARMA-L2 Model Reference and Predictive Controllers for
Electromagnetic Space Vehicle Suspension System
AU - Jibril, Mustefa AU - Tadese, Messay AU - Hassen, Nuriye 
JO  - Journal of Engineering and Applied Sciences
VL  - 16
IS  - 10
SP  - 313
EP  - 317
PY  - 2021
DA  - 2001/08/19
SN  - 1816-949x
DO  - jeasci.2021.313.317
UR  - https://makhillpublications.co/view-article.php?doi=jeasci.2021.313.317
KW  - Electromagnetic suspension system
KW  -NARMA-L2
KW  -model reference
KW  -predictive controller
AB  - Electromagnetic Suspension System (EMS) is
mostly used in the field of high-speed vehicle. In this
study, a space exploring vehicle quarter electromagnetic
suspension system is modelled, designed and simulated
using Neural network-based control problem.
NARMA-L2, Model reference and predictive controllers
are designed to improve the body travel of the vehicle
using bump road profile. Comparison between the
proposed controllers is done and a promising simulation
result have been analyzed.
ER  -