Publication:
Intelligent servo feedback control for hydrostatic journal bearing

Placeholder

Departments

School / College / Institute

Program

KU-Authors

KU Authors

Co-Authors

Rehman, Waheed Ur
Jiang Guiyun
Iqbal, Nadeem
Luo Yuanxin
Wang Yongqin
Rehman, Shafiq Ur
Bibi, Shamsa
Saleem, Farrukh
Shoaib, Muhammad

Date

Language

Embargo Status

N/A

Journal Title

Journal ISSN

Volume Title

Alternative Title

Abstract

The purpose of current research work is to improve dynamics characteristics of hydrostatic journal bearing which is integral part of high speed and heavy load machinery nowadays. Current work presents hydrostatic journal bearing with servo control. Mathematical model is derived for hydrostatic journal bearing and two control strategies were presented. Result shows that hydrostatic journal bearing with self-tuning PID control has better results than PID control. The performance of active hydrostatic journal bearing under two different control strategies were checked with respect to different conditions of speed, viscosity, load, pressure, bearing clearance. The numerical result shows that proposed hydrostatic journal because of active lubrication has better performance including stability and controllability, high stiffness, faster response, strong resistance under Self tuning PID control. Furthermore, proposed hydrostatic journal bearing with servo control has no eccentricity under new equilibrium position after being applied load which is big advantage on conventional hydrostatic journal that always face some amount of eccentricity under external load due to absent of servo feedback. All simulations were performed in Matlab/ Simulink. The numerical result shows that proposed active hydrostatic journal due to active lubrication has good performance including stability and controllability, high stiffness, faster response, strong resistance in Matlab/ Simulink which shows effectiveness of proposed system.

Source

Publisher

Springer-Verlag Berlin

Keywords

Computer science, Artificial intelligence, Theory methods

Citation

Has Part

Source

Intelligent Computing and Internet of Things, Pt Ii

Book Series Title

Edition

DOI

10.1007/978-981-13-2384-3_33

item.page.datauri

Link

Rights

N/A

Copyrights Note

Endorsement

Review

Supplemented By

Referenced By

Related Goal

Thumbnail Image
GoalOpen Access
07 - Affordable and Clean Energy
Renewable energy solutions are becoming cheaper, more reliable and more efficient every day.Our current reliance on fossil fuels is unsustainable and harmful to the planet, which is why we have to change the way we produce and consume energy. Implementing these new energy solutions as fast as possible is essential to counter climate change, one of the biggest threats to our own survival.

0

Views

0

Downloads

View PlumX Details