A two-level Iterative Learning Control scheme for the engagement of wet clutches

被引：31

作者：

Depraetere, B. ^{[1
]}

Pinte, G. ^{[2
]}

Symens, W. ^{[2
]}

Swevers, J. ^{[1
]}

机构：

[1] Dept Mech Engn, B-3001 Louvain, Belgium

[2] FMTC, B-3001 Louvain, Belgium

来源：

MECHATRONICS | 2011年 / 21卷 / 03期

关键词：

Iterative Learning Control; Control scheme development; Wet clutch; Piecewise systems; Trajectory optimization;

D O I：

10.1016/j.mechatronics.2011.01.002

中图分类号：

TP [自动化技术、计算机技术];

学科分类号：

0812 ;

摘要：

This paper discusses the application of Iterative Learning Control (ILC) algorithms for the engagement of wet clutches. A two-level control scheme is presented, consisting of a high level ILC-type algorithm which iteratively updates parameterized reference trajectories which are tracked by the low level tracking control. At this low level, two standard ILC controllers are used to first track a pressure reference in the filling phase and afterwards a slip reference in the slip phase of the clutch engagement. The performance and robustness of the presented approach are validated on an experimental test setup. It is shown that both levels are crucial to achieve good engagement quality during normal machine operation. Through the use of this ILC control scheme, it is possible to avoid time-consuming and cumbersome experimental (re)calibrations, which are nowadays used to achieve and maintain good performance despite the complex and time-varying dynamics of wet clutches. (c) 2011 Elsevier Ltd All rights reserved.

引用

页码：501 / 508

页数：8

共 24 条

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