Optimal speed synchronization control for clutchless AMT systems in electric vehicles with preview actions

Xiaoyuan Zhu, Hui Zhang, Junqiang Xi, Junmin Wang, Zongde Fang

Research output: Chapter in Book/Report/Conference proceedingConference contributionpeer-review

33 Scopus citations

Abstract

In this paper, we investigate the speed synchronization optimal controller design problem for clutchless automatic manual transmission (AMT) systems in electric vehicles. It is well known that the speed synchronization is one of the main challenges in transmission control systems. In electric vehicles, the clutchless AMT system is regarded as the most promising transmission device and it generally requires a high-precision speed synchronization capability. In order to satisfy this requirement, we propose a robust optimal speed synchronization control scheme in this paper. The control law consists of the preview control, the integral control, and the state-feedback control. Using an augmentation method, the proposed controller design problem is transformed into a state-feedback design problem for the augmented system first. As the external input is involved in the augmented system, we employ the H control scheme to minimize the effect of the disturbance to the controlled output. In addition, to tradeoff between the transient response and the maximal control effort, the linear quadratic cost function and the pole placement technique are also adopted. Finally, the controller gains are calculated by solving the linear matrix inequality. The simulation results show the effectiveness of the proposed control approach.

Original languageEnglish
Title of host publication2014 American Control Conference, ACC 2014
PublisherInstitute of Electrical and Electronics Engineers Inc.
Pages4611-4616
Number of pages6
ISBN (Print)9781479932726
DOIs
StatePublished - 2014
Event2014 American Control Conference, ACC 2014 - Portland, OR, United States
Duration: 4 Jun 20146 Jun 2014

Publication series

NameProceedings of the American Control Conference
ISSN (Print)0743-1619

Conference

Conference2014 American Control Conference, ACC 2014
Country/TerritoryUnited States
CityPortland, OR
Period4/06/146/06/14

Keywords

  • Automotive

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