Author: Mustefa Jibril , Eliyas Alemayehu Tadese, Abu Fayo
Page: 11-18
Published online: 13 Feb 2021
Abstract: This study considers the trouble of the usage of approximate strategies for realizing the neural controllers for nonlinear SISO systems. In this study, we introduce the nonlinear autoregressive moving average (NARMA?L2) model which might be approximations to the NARMA model. The nonlinear autoregressive moving average (NARMA?L2) model is an precise illustration of the input?output behavior of finite?dimensional nonlinear discrete time dynamical systems in a neighborhood of the equilibrium state....

Author: Mustefa Jibril , Eliyas Alemayehu Tadese
Page: 19-25
Published online: 13 Feb 2021
Abstract: This study offers with the theoretical and computational evaluation of optimal and robust control problems with the goal of providing answers to them with MATLAB simulation. For the robust control, μ?synthesis controller and for the optimal control, LQR controller are designed for a quarter car active suspension system to maximize the ride comfort and road handling criteria’s of the vehicle. The proposed controllers are designed using MATLAB script program using time domain analysis for...

Author: Mustefa Jibril , Eliyas Alemayehu Tadese
Page: 26-30
Published online: 13 Feb 2021
Abstract: Suspension system is used to fulfil the criteria of ride comfort and road handling. In this study, a quarter car active and semi?active suspension systems are designed using MATLAB/Script software. Comparison of active and semi?active suspension systems are done using robust control theory for the control targets suspension deflection, body acceleration and body travel. H4 controller is selected to compare the two suspensions using time domain analysis. Finally, the simulation result prove the e...