Paper Titles
Design and Application of a Kind of Micro-Gripper with Pneumatic Control System
p.1561
Automatic Weight Classifying Machine of Objects with Load Cell
p.1565
Research on Sterotype Kettle Screw Error Compensation
p.1569
Research on the PID Control Strategy in BP Neural Network of Terrain Detector-Milling Cutting Depth System
p.1573
Optimization and Simulation Analysis of Electro Hydraulic Control System of Clutch Engagement Pressure
p.1579
Control Method Research of Parallel Operation of Power System with Multiple Sources
p.1583
Control Strategy of Hybrid Electric Vehicles Based on Driving Style Identification
p.1587
Adaptive Backstepping Sliding Mode Control of Electro-Optical Tracking Servo Turntable
p.1597
Design of Direct Drive Electro-Hydraulic Actuator Based on Internet of Things Technology
p.1601

Optimization and Simulation Analysis of Electro Hydraulic Control System of Clutch Engagement Pressure

Article Preview

Abstract:

As an important section in powertrain system, the clutch control strategy directly impacted vehicle ride comfort. In this paper, the design scheme of electro hydraulic control system was composed and simulation analysis was conducted by AMESim software. The system parameters were optimized according to genetic algorithm. Series progress of control system design, analyzation and optimization were completely demonstrated.

You might also be interested in these eBooks
Advances in Manufacturing Science and Engineering V View Preview

Info:

Periodical:

Advanced Materials Research (Volumes 945-949)

Pages:

1579-1582

DOI:

https://doi.org/10.4028/www.scientific.net/AMR.945-949.1579

Citation:

Cite this paper

Online since:

June 2014

Authors:

Han Yu Jin, Xiu Sheng Cheng, Xiu Feng Song

Keywords:

Electro Hydraulic System, Genetic Algorithm (GA), PID Controller

Export:

RIS, BibTeX

Price:

Permissions CCC:

Request Permissions

Permissions PLS:

Request Permissions

Сopyright:

© 2014 Trans Tech Publications Ltd. All Rights Reserved

Share:

Citation:

References

[1] Quan Zheng, Krishnaswamy Srinivasan: Transmission Clutch Pressure Control System: Modeling, Controller Development and Implementation. SAE, (2000-01-1149).

DOI: 10.4271/2000-01-1149

Google Scholar

[2] Hiroshi Tsutsui, Takayuki Hisano, Akitomo Suzuki: Electro-Hydraulic Control System for AISIN AW New 6-Speed Automatic Transmission. SAE, (2004-01-1638).

DOI: 10.4271/2004-01-1638

Google Scholar

[3] Wen Yu, Xiaoou Li: Stable PID Control for Robot Manipulators with Neural Compensation. 51st IEEE Conference on Decision and Control, (2012).

DOI: 10.1109/cdc.2012.6427024

Google Scholar

[4] Jingqing Han: From PID to Active Disturbance Rejection Control. IEEE Transactions on industrial electronics. VOL. 56, NO. 3, (2009).

Google Scholar

[5] Sigeru Omatu, Michifumi Yoshioka, Toshihisa Kosaka: PID Control of Speed and Torque of Electric Vehicle. Third International Conference on Advanced Engineering Computing and Applications in Science, (2009).

DOI: 10.1109/advcomp.2009.31

Google Scholar

[6] Haixia Zhang, Changqing Li: Simulation and Evaluation of PID Control and Fuzzy Control. International Conference on Electrical and Control Engineering, (2010).

DOI: 10.1109/icece.2010.469

Google Scholar

[7] Pengfei Guo, Xuezhi Wang, Yingshi Han: The Enhanced Genetic Algorithms for the Optimization Design. 3rd International Conference on Biomedical Engineering and Informatics, (2010).

DOI: 10.1109/bmei.2010.5639829

Google Scholar

[8] Ying Liu: Research on Fitness Function in Genetic Algorithm. Journal of Lanzhou Polytechnic College, (2006).

Google Scholar