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Simulating Human Intelligent Control for the Clutch of Automated Mechanical Transmission in the Start Process
barcelona2004/F2004I004-paper

Authors

Yulong Lei* - Jilin University
Xiaofeng Yin - Xihua University
Jingxing Tan - Xihua University
Anlin Ge - Jilin University

Abstract

Keywords

SHIC, Clutch, Automated Mechanical Transmission, Start Process

Abstract

Clutch control is the most difficult matter in the start process control of Automated Mechanical Transmission (AMT). Besides embodying the intention of driver, it must ensure to lessen start jerk and prolong the life cycle of clutch. Due to the non-linearity of membrane spring and hydraulic actuators, clutch control owns non-linear characteristics. And the abrasion of friction flakes and temperature variety of hydraulic system also make the dynamic characteristics of the controlled object become more uncertain with time-varied parameters. It’s hard for traditional control methods to ensure robustness of control system and adaptability to the temperature variety of hydraulic system while implementing precise control. By simulating human control features, a clutch engagement control algorithm based on peak value sampling is put forward, which has the advantages of control cycle online selecting, adaptive temperature compensating and easy to be programmed on single chip microcomputer. The control algorithm is applied to the start process control of AMT test vehicle with satisfactory results. The main contents of this paper include:

1. Introduction of the start performance indices of AMT.

2. How to determine the engagement control target of clutch under the principle of embodying the intention of driver meanwhile ensuring the start performance.

3. Algorithm description and explanation.

4. Experimental verifications under three typical start modes (creeping, normal and abrupt start mode).

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