A New Type of Aerostatic Thrust Bearing Controlled by High-speed Pneumatic Valve and a Novel Pressure Transducer

Rehman, Waheed Ur; Guiyun, Jiang; Wang, Yongqin; Iqbal, Nadeem; Réhman, Shafiq Ur; Bibi, Shamsa; Elahi, Hassan

doi:10.15282/ijame.16.4.2019.16.0550

Cited by 6 publications

(3 citation statements)

References 29 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

“…The performance characteristics of the hydrostatic bearings are checked against different shapes of recess [8,9] but there is a performance limitation due to the fixed throttling effect. A prototype is developed for the active bearing where the clearance gap is controlled through high-speed solenoid valves but deficiency arises because it is used for light load applications [10]. The rotor bearing node's characteristics are improved by the integration of control techniques for thrust fluid bearings [11].…”

Section: Introductionmentioning

confidence: 99%

Model-Based Design Approach to Improve Performance Characteristics of Hydrostatic Bearing Using Multivariable Optimization

et al. 2021

Self Cite

View full text Add to dashboard Cite

Research in the field of tribo-mechatronics has been gaining popularity in recent decades. The objective of the current research is to improve static/dynamics characteristics of hydrostatic bearings. Hydrostatic bearings always work in harsh environmental conditions that effect their performance, and which may even result in their failure. The current research proposes a mathematical model-based system for hydrostatic bearings that helps to improve its static/dynamic characteristics under varying conditions of performance-influencing variables such as temperature, spindle speed, external load, and clearance gap. To achieve these objectives, the capillary restrictors are replaced with servo valves, and a mathematical model is developed along with robust control design systems. The control system consists of feedforward and feedback control techniques that have not been applied before for hydrostatic bearings in the published literature. The feedforward control tries to remove a disturbance before it enters the system while feedback control achieves the objective of disturbance rejection and improves steady-state characteristics. The feedforward control is a trajectory-based controller and the feedback controller is a sliding mode controller with a PID sliding surface. The particle swarm optimization algorithm is used to tune the 6-dimensional vector of the tuning parameters with multi-objective performance criteria. Numerical investigations have been carried out to check the performance of the proposed system under varying conditions of viscosity, clearance gap, external load and the spindle speed. The comparison of our results with the published literature shows the effectiveness of the proposed system.

show abstract

Section: Introductionmentioning

confidence: 99%

Model-Based Design Approach to Improve Performance Characteristics of Hydrostatic Bearing Using Multivariable Optimization

et al. 2021

Self Cite

View full text Add to dashboard Cite

show abstract

“…The active lubrication helps to improve static/dynamics characteristics for hydrostatic bearings. Several authors have done the research for active devices for hydrostatic bearings such as; piezoelectric pushers for bearing (Palazzolo et al, 1989), magneto-hydrostatic lubrication as active lubrication is used by (Kumar and Sharma, 2019), giant magnetostrictive material (GMM) based actuators (Lau et al, 2009), a membrane restrictor (Sha et al, 2020), servo-hydraulic actuators (Rehman et al, 2019c;Rehman et al, 2018), bearings with variable impedance (Ogrodnik et al, 1996), magneto-hydrostatic lubrication under different types of recess shapes (Kumar and Sharma, 2019), a novel piezoelectric membrane restrictor is proposed by (Liu et al, 2016), a high-speed solenoid valve is used to main fluid film gap (Rehman et al, 2019b). Active fluid lubrication is proposed as a solution for modern rotating equipments where demand is clean environment and high speed.…”

Section: Introductionmentioning

confidence: 99%

An active control for hydrostatic journal bearing using optimization algorithms

Rehman

Wang

Chen

et al. 2021

ILT

View full text Add to dashboard Cite

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

show abstract

“…Eberhardt [15] measured the clearance gap with the help of an eddy current sensor; hydrostatic support is activated when the clearance gap is critical. Rehman [16] proposed an active aerostatic thrust bearing, where high-speed pneumatic valves are used to control recess pressure and adjust fluid film thickness. Kang [17,18] proposed different types of restrictors to control recess pressure.…”

Section: Introductionmentioning

confidence: 99%

Nonlinear Control of Hydrostatic Thrust Bearing Using Multivariable Optimization

et al. 2021

Self Cite

View full text Add to dashboard Cite

This research work is focused on the nonlinear modeling and control of a hydrostatic thrust bearing. In the proposed work, a mathematical model is formulated for a hydrostatic thrust bearing system that includes the effects of uncertainties, unmodelled dynamics, and nonlinearities. Depending on the type of inputs, the mathematical model is divided into three subsystems. Each subsystem has the same output, i.e., fluid film thickness with different types of input, i.e., viscosity, supply pressure, and recess pressure. An extended state observer is proposed to estimate the unavailable states. A backstepping control technique is presented to achieve the desired tracking performance and stabilize the closed-loop dynamics. The proposed control technique is based on the Lyapunov stability theorem. Moreover, particle swarm optimization is used to search for the best tuning parameters for the backstepping controller and extended state observer. The effectiveness of the proposed method is verified using numerical simulations.

show abstract

A New Type of Aerostatic Thrust Bearing Controlled by High-speed Pneumatic Valve and a Novel Pressure Transducer

Cited by 6 publications

References 29 publications

Model-Based Design Approach to Improve Performance Characteristics of Hydrostatic Bearing Using Multivariable Optimization

Model-Based Design Approach to Improve Performance Characteristics of Hydrostatic Bearing Using Multivariable Optimization

An active control for hydrostatic journal bearing using optimization algorithms

Nonlinear Control of Hydrostatic Thrust Bearing Using Multivariable Optimization

Contact Info

Product

Resources

About