Journal of Engineering and Applied Sciences

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Comparison of Neural Network NARMA-L2 Model Reference and Predictive Controllers for Electromagnetic Space Vehicle Suspension System

Mustefa Jibril, Messay Tadese and Nuriye Hassen
Page: 313-317 | Received 21 Sep 2022, Published online: 21 Sep 2022

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Abstract

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.

How to cite this article:

Mustefa Jibril, Messay Tadese and Nuriye Hassen. Comparison of Neural Network NARMA-L2 Model Reference and Predictive Controllers for Electromagnetic Space Vehicle Suspension System.
DOI: https://doi.org/10.36478/jeasci.2021.313.317
URL: https://www.makhillpublications.co/view-article/1816-949x/jeasci.2021.313.317