An active control for hydrostatic journal bearing using optimization algorithms,Industrial Lubrication and Tribology

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An active control for hydrostatic journal bearing using optimization algorithms
Industrial Lubrication and Tribology ( IF 1.5 ) Pub Date : 2021-01-25 , DOI: 10.1108/ilt-07-2020-0272
Waheed Ur Rehman , Xinhua Wang , Yingchun Chen , Xiaogao Yang , Zia Ullah , Yiqi Cheng , Marya Kanwal

Purpose

The purpose of this paper is to improve static/dynamic characteristics of active-controlled hydrostatic journal bearing by using fractional order control techniques and optimizing algorithms.

Design/methodology/approach

Active lubrication has ability to overcome the unpredictable harsh environmental conditions which often lead to failure of capillary controlled traditional hydrostatic journal bearing. The research develops a mathematical model for a servo feedback-controlled hydrostatic journal bearing and dynamics of model is analyzed with different control techniques. The fractional-order PID control system is tuned by using particle swarm optimization and Nelder mead optimization techniques with the help of using multi-objective performance criteria.

Findings

The results of the current research are compared with previously published theoretical and experimental results. The proposed servo-controlled active bearing system is studied under a number of different dynamic situations and constraints of variable spindle speed, external load, temperature changes (viscosity) and variable bearing clearance (oil film thickness). The simulation results show that the proposed system has better performance in terms of controllability, faster response, stability, high stiffness and strong resistance.

Originality/value

This paper develops an accurate mathematical model for servo-controlled hydrostatic bearing with fractional order controller. The results are in excellent agreement with previously published literature.

Peer review

The peer review history for this article is available at: https://publons.com/publon/10.1108/ILT-07-2020-0272

中文翻译：

基于优化算法的静压轴颈轴承主动控制

目的

本文的目的是通过使用分数阶控制技术和优化算法来改善主动控制静压轴颈轴承的静态/动态特性。

设计/方法/方法

主动润滑具有克服不可预测的恶劣环境条件的能力，这种恶劣环境条件通常会导致毛细管控制的传统静压轴颈轴承失效。研究开发了用于伺服反馈控制的静压轴颈轴承的数学模型，并使用不同的控制技术对模型的动力学进行了分析。在使用多目标性能标准的帮助下，使用粒子群优化和Nelder mead优化技术对分数阶PID控制系统进行了调整。