Active vibration control of agriculture tractor suspension using optimised feedback controller Online publication date: Wed, 02-Oct-2019
by H. Metered; A. Elsawaf
International Journal of Heavy Vehicle Systems (IJHVS), Vol. 26, No. 6, 2019
Abstract: The paper investigates the use of a particle swarm optimisation (PSO) algorithm to search for optimal feedback controller gains for the active agriculture tractor suspension system, for the first time, to reduce the transmitted vibrations to the tractor body caused by road irregularities. The proposed PSO algorithm aims to minimise the dynamic tyre load (DTL) generated by tractor-terrain interaction as the objective function with constraint of the actuator force. Suspension performance is assessed in time and frequency domains to prove the success of the proposed controller gains tuned using the PSO technique under different operating conditions. The simulation results reveal that the feedback controller gains tuned by the proposed PSO algorithm offer a significant improvement of the suspension performance, compared with both the conventional passive and the classical feedback gains tuned by the trial and error (TAE) technique.
Existing subscribers:
Go to Inderscience Online Journals to access the Full Text of this article.
If you are not a subscriber and you just want to read the full contents of this article, buy online access here.Complimentary Subscribers, Editors or Members of the Editorial Board of the International Journal of Heavy Vehicle Systems (IJHVS):
Login with your Inderscience username and password:
Want to subscribe?
A subscription gives you complete access to all articles in the current issue, as well as to all articles in the previous three years (where applicable). See our Orders page to subscribe.
If you still need assistance, please email subs@inderscience.com