Authors : Mustefa Jibril, Messay Tadese and Nuriye Hassen
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.
Mustefa Jibril, Messay Tadese and Nuriye Hassen, 2021. Comparison of Neural Network NARMA-L2 Model Reference and Predictive Controllers for Electromagnetic Space Vehicle Suspension System. Journal of Engineering and Applied Sciences, 16: 313-317.