Off-Road Motorbike Performance Analysis Using a Rear Semiactive EH Suspension

Abstract

The topic of this paper is the analysis of a control system for a semiactive rear suspension in an off-road two-wheeled vehicle. Several control methods are studied, as well as the recently proposed Frequency Estimation Based (FEB) algorithm. The motorcycle dynamics, as well as the passive, and semiactive dampers, and the algorithm controlled shock absorber models are loaded into BikeSim, a professional two-wheeled vehicle simulation software, and tested in several road conditions. The results show a detailed comparison of the theoretical performance of the different control approaches in a novel environment for semiactive dampers.

Tyre forces estimation for off-road motorcycles

“…Only in 2015, Lozoya et. al [9] studied control strategies to optimise a semi-active suspension in an off-road motorcycle using BikeSim, a professional simulation software. However, passive suspensions, which are predominantly used in production off-road motorcycles, have not been optimised since Vliet.…”

Control of Automotive Semi-Active MR Suspensions for In-Wheel Electric Vehicles

“…The most employed control inputs are the speeds of the sprung and unsprung mass as well as the real time displacements. For the controllers validation through simulation, it is common to employ Matlab/Simulink [11][12][13], Carsim [19,20], Bikesim [21], Trucksim. All these programs require the parameters of the vehicle's suspension, and a road disturbance profile to generate results.…”