Feedback brake distribution control for minimum pitch

Date published

2017-03-03

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Journal Title

Journal ISSN

Volume Title

Publisher

Taylor & Francis: STM, Behavioural Science and Public Health Titles

Department

Type

Article

ISSN

0042-3114

Format

Citation

Davide Tavernini, Efstathios Velenis, and Stefano Longo, Feedback brake distribution control for minimum pitch, Vehicle System Dynamics Volume 55, Issue 6, 2017, Pages 902 - 923

Abstract

The distribution of brake forces between front and rear axles of a vehicle is typically specified such that the same level of brake force coefficient is imposed at both front and rear wheels. This condition is known as ‘ideal’ distribution and it is required to deliver the maximum vehicle deceleration and minimum braking distance. For subcritical braking conditions, the deceleration demand may be delivered by different distributions between front and rear braking forces. In this research we show how to obtain the optimal distribution which minimises the pitch angle of a vehicle and hence enhances driver subjective feel during braking. A vehicle model including suspension geometry features is adopted. The problem of the minimum pitch brake distribution for a varying deceleration level demand is solved by means of a model predictive control (MPC) technique. To address the problem of the undesirable pitch rebound caused by a full-stop of the vehicle, a second controller is designed and implemented independently from the braking distribution in use. An extended Kalman filter is designed for state estimation and implemented in a high fidelity environment together with the MPC strategy. The proposed solution is compared with the reference ‘ideal’ distribution as well as another previous feed-forward solution.

Description

Software Description

Software Language

Github

Keywords

Pitch, anti-dive, suspension geometry, brake distribution, model predictive control, heave estimation

DOI

Rights

Attribution-NonCommercial 4.0 International

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