Publication: Intelligent servo feedback control for hydrostatic journal bearing
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
Advisor
Publication Date
Language
English
Journal Title
Journal ISSN
Volume 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:
Intelligent Computing and Internet of Things, Pt Ii
Publisher:
Springer-Verlag Berlin
Keywords:
Subject
Computer science, Artificial intelligence, Theory methods