ZANCHETTA, Mattia, TAVERNINI, Davide, SORNIOTTI, Aldo, GRUBER, Patrick, LENZO, Basilio, FERRARA, Antonella, SANNEN, Koen, DE SMET, Jasper and DE NIJS, Wouter (2019). Trailer control through vehicle yaw moment control: theoretical analysis and experimental assessment. Mechatronics, 64 (102282).
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Abstract
This paper investigates a torque-vectoring formulation for the combined control of the yaw rate and hitch angle of an articulated vehicle through a direct yaw moment generated on the towing car. The formulation is based on a single-input single-output feedback control structure, in which the reference yaw rate for the car is modified when the incipient instability of the trailer is detected with a hitch angle sensor. The design of the hitch angle controller is described, including the gain scheduling as a function of vehicle speed. The controller performance is assessed by means of frequency domain and phase plane analyses, and compared with that of an industrial trailer sway mitigation algorithm. In addition, the novel control strategy is implemented in a high-fidelity articulated vehicle model for robustness assessment, and experimentally tested on an electric vehicle demonstrator with four on-board drivetrains, towing two different conventional single-axle trailers. The results show that: i) the torque-vectoring controller based only on the yaw rate of the car is not sufficient to mitigate trailer instability in extreme conditions; and ii) the proposed controller provides safe trailer behaviour during the comprehensive set of manoeuvres, thus justifying the additional hardware complexity associated with the hitch angle measurement.
Item Type: | Article |
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Uncontrolled Keywords: | 0910 Manufacturing Engineering; 0913 Mechanical Engineering; 0906 Electrical and Electronic Engineering; Industrial Engineering & Automation |
Identification Number: | https://doi.org/10.1016/j.mechatronics.2019.102282 |
SWORD Depositor: | Symplectic Elements |
Depositing User: | Symplectic Elements |
Date Deposited: | 02 Oct 2019 11:21 |
Last Modified: | 18 Mar 2021 01:01 |
URI: | https://shura.shu.ac.uk/id/eprint/25224 |
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