Backlash size estimation in automotive drivelines

Reddy, Prithvi; Darokar, Kaushal; Robinette, Darrell; Shahbakhti, Mahdi; Ravichandran, M.H.; Doering, Jeff

doi:10.1109/ccta41146.2020.9206309

Cited by 6 publications

(1 citation statement)

References 13 publications

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“…The gear structure of the transmission determines that there must be a backlash in the system. Reddy et al (2020) studied the oscillation problem of the powertrain systems from the perspective of estimating the backlash size. Yonezawa et al (2019) studied the problem that the impact torque generated in the meshing process of differential gears increases the vibration amplitude.…”

Section: Introductionmentioning

confidence: 99%

Design of the electric vehicle powertrain systems based on μ-analysis

Zhang

Meng

Liu

2023

Transactions of the Institute of Measurement and Control

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Aiming at the oscillation in the electric vehicle powertrain systems, a control strategy based on the structural singular value [Formula: see text] is proposed. To solve the problem of robustness under parameter uncertainty, the traditional [Formula: see text]-synthesis needs to obtain all-pass characteristics through the weight function in the nominal system, which reduces the perturbation suppression ability of the system. Unlike the previous use of [Formula: see text]-analysis as a system performance criterion, this paper starts from the essence of parameter uncertainty problems and designs controllers based on the relationship between parameter uncertainty and nominal systems, using structural singular value [Formula: see text] as a performance constraint. The result shows that the [Formula: see text]-analysis not only takes into account the robustness and disturbance rejection ability but also reduces the controller order. In addition, the oscillation suppression effect in the presence of transmission backlash is verified, and the [Formula: see text]-analysis can suppress the oscillation better than the [Formula: see text]-synthesis.

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Section: Introductionmentioning

confidence: 99%