Adaptive feedforward control of an electro-hydraulic variable valve actuator for internal combustion engines

Huan Li, Guoming Zhu, Ying Huang

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

7 Citations (Scopus)

Abstract

Electro-hydraulic valve actuators capable of variable valve timing, duration and lift offer potential benefits for significantly improving engine performance. A model-based adaptive feedforward control strategy was developed to improve the accuracy of valve opening timing control with the presence of time-varying valve delay. A discrete-time adaptive estimation algorithm was employed to estimate the system supply pressure, which is the leading factor of the valve opening delay. To make the online estimation feasible, a linear time-invariant model was obtained based on previously developed mathematical model. The valve opening delay determined by the estimated supply pressure was further used for the feedforward control to track the desired valve opening timing. Both the open-loop and closed-loop control schemes with adaptive feedforward were studied in this paper. The discrete-time adaptive parameter estimation algorithm along with the developed control strategies were verified on the test bench under transient operational conditions. The parameter estimation converges in 6 engine cycles with a steady-state mean relative estimation error of 7.1% and the tracking error of valve opening timing is kept within 1 crank angle degree using combined feedforward and feedback control.

Original languageEnglish
Title of host publication2017 IEEE 56th Annual Conference on Decision and Control, CDC 2017
PublisherInstitute of Electrical and Electronics Engineers Inc.
Pages879-884
Number of pages6
ISBN (Electronic)9781509028733
DOIs
Publication statusPublished - 28 Jun 2017
Event56th IEEE Annual Conference on Decision and Control, CDC 2017 - Melbourne, Australia
Duration: 12 Dec 201715 Dec 2017

Publication series

Name2017 IEEE 56th Annual Conference on Decision and Control, CDC 2017
Volume2018-January

Conference

Conference56th IEEE Annual Conference on Decision and Control, CDC 2017
Country/TerritoryAustralia
CityMelbourne
Period12/12/1715/12/17

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