Academia.eduAcademia.edu

Outline

Title
Abstract
Introduction
Pneumatic Actuator Controller Design
Controller Design Based on Adaptive Controller
Conclusion
References
All Topics
Engineering
Control and Systems Engineering

Review on controller design in pneumatic actuator drive system

Profile image of Muhammad Nizam KamarudinMuhammad Nizam Kamarudin

2020, TELKOMNIKA (Telecommunication Computing Electronics and Control)

https://doi.org/10.12928/TELKOMNIKA.V18I1.12626
visibility

…

description

11 pages

link

1 file

Abstract

A pneumatic actuator is a device that converts compressed air into mechanical energy to perform varieties of work. It exhibits high nonlinearities due to high friction forces, compressibility of air and dead band of the spool movement which is difficult to manage and requires an appropriate controller for better performance. The purpose of this study is to review the controller design of pneumatic actuator recommended by previous researchers from the past years. Initially, the basic views of the pneumatic will be presented in terms of introduction to the pneumatic actuator and its applications in industries. At the end of this review, discussions on the design of the controllers will be concluded and further research will be proposed along with the improvement of control strategies in the pneumatic actuator systems.

Related papers

Experimental Comparisons of the Control Solutions for Pneumatic Servo Actuators
Antonio Carlos Valdiero

2004

This paper points to the control problem of the pneumatic servo actuator in positioning, comparing through experimental tests a commercially available industrial controller and classic linear controllers. Although there are many papers covering the control of servo pneumatic drives, was observed the lack of a comparison involving these proposed and tested control strategies with controllers that have recognized use in industry. This paper begins with the presentation of the experimental system where the comparison work was developed. It continues with a short study of mathematical models of pneumatic systems to know the main non-linearities involved. At sequence, P, P I and PID controllers are described and compared with commercially available Festo SPC-100 controller through experimental tests, where are measured the following variables: pneumatic actuator position, position error, pressures in the actuator chambers and the valve control signal. Graphics to each controller are plot...

View PDFchevron_right
Research regarding use of pneumatic linear actuator
Mihai Diaconu

Technium, 2022

This article represents research regarding use of pneumatic linear actuator. A pneumatic linear drive is a device that creates motion in a straight line. The linear drive with solenoid in this manuscript is a pneumatic actuator. The pneumatic linear drive works only with compressed air. Compressed air usually has a pressure of between 2•10 5 Pa and 6•10 5 Pa. Linear drive with solenoid can be used for various applications, including pulling/pushing, pick-andplace applications or lifting/moving. After Introduction, the authors study two pneumatic circuits using linear drive with solenoid coupling. In fact, the first pneumatic scheme in this paper has only one device (linear drive 1-1). But, the second pneumatic circuit has two actuators (linear drives 2-1 and 2-2). Further on, the authors present two electro-pneumatic circuits. In any case, a simple electro-pneumatic circuit that has a linear drive with solenoid coupling. Moreover, the second electro-pneumatic system has a linear drive with solenoid coupling and PLC (Programmable Logic Controller). The pneumatic and electro-pneumatic circuits given in this manuscript are made using FluidSim software from Festo.

View PDFchevron_right
Predictive model on the effect of restrictor on transfer function parameters on pneumatic control system
Chemistry International
View PDFchevron_right
Development of a Pneumatic Drives Parametric Model
Vyacheslav Lyashenko

American Journal of Engineering Research (AJER), 2019

ABSTRACT : The article describes a pneumatic actuators features, as well as their use in robotics (analyzed drive design). A tree of structural elements properties for a pneumatic drive was proposedin order to obtain a comprehensive and accurate analysis. A parametric model for determining the basic pneumatic actuators parameters has been developed on basis of tree. The carried out key parameters of the study determined that the accuracy can be increased by reducing speed of robot movement and drive power is directly dependent on moment.

View PDFchevron_right
Modelling and Controller Design of Electro-Pneumatic Actuator Based on PWM
ali akbar mohammadi

IAES International Journal of Robotics and Automation (IJRA), 2012

In this paper, a nonlinear model associated to the fast switching on-off solenoid valve and pneumatic cylinder is dynamically presented. Furthermore, the electrical, magnetic, mechanical, and fluid sub-systems are studied. Two common control policies to track valve position, a proportional integrator (PI) based on pulse width modulation (PWM) and hysteresis controllers, are investigated. The control cylinder position is simulated usinga programmable logic controller (PLC), andan experimental setup regulated with AVR microcontroller isaccomplished. Simulationand experimental results verified proper performance of the proposed controller.

View PDFchevron_right
Application a Position Controller Model of the Pneumatic Actuator Based on Electromechanical Sensors
ahmed kazzem awad, GJESR Journal

This research paper is concerned with study the performance of a position control model of the rod in double acting pneumatic cylinder using economic process and simple electric control circuit. The proposed model involves two electromechanical sensors to determine the stroke of the pneumatic actuator that steering by two solenoid valves and electrical control subsystem conducted to limit switches to stop the rod at the required position and to achieve the position control system. A comparison is made between the experimental and theoretical results to investigate the better behavior of the suggested model.

View PDFchevron_right
Comparison of PWM control of pneumatic actuator based on energy efficiency
D. Seslija

Facta universitatis - series: Electronics and Energetics, 2012

In this paper different realizations of PWM control of pneumatic actuators are compared. The actuators are controlled by PLC and two 3/2 valves. Quality of tracking and air consumptions for different realizations of control are compared.

View PDFchevron_right
Pressure Regulators Applied to Force/Position Control of a Pneumatic Actuator
Zeljko Situm

2006

Proportional pressure regulators are usually used in different automation processes where continuous pressure or force control is required. They originated from the combination of an electropneumatic pilot valve, pressure regulator and pressure sensor for achieving an internal pressure feedback. These valves have practically linear pressure output regarding to an electrical signal from a control device. By controlling pressures in both cylinder chambers they can be used for direct force control of a pneumatic system. However, in this paper, also the position control of a pneumatic actuator using two proportional pressure regulators has been considered. A simplified dynamic model of the process has been derived, followed by a design of the PD controller for the system control. The control algorithms are experimentally verified on an industrial pneumatic cylinder controlled by two proportional pressure valves. The results demonstrate that the proportional pressure valves have a potential for successful implementation in hybrid force/position control tasks.

View PDFchevron_right
Design and Manufacturing of Pneumatic Vehicle for Industrial Purpose
Karan Jagtap

International Journal Of Engineering And Computer Science, 2017

Compressed air as a source of energy in different uses in general and as a non-polluting fuel in compressed air vehicles has attracted scientists and engineers for centuries. Efforts are being made by many developers and manufacturers to master the compressed air vehicle technology in all respects for its earliest use by the mankind. Nowadays, almost every industry is trying to develop light and efficient vehicles. Today, all the the vehicles running on conventional & non-conventional fuels are known for producing a large amount of harmful gases like CO 2 , SO 2 , NO 2 , etc. which acts increases global warming. The motto of our project is to design & fabricate vehicle running on air pressure for material handling in industries and reduce power consumption. It is rear wheel drive. We develop the concept of pneumatic vehicle from pedal operated tricycle. The vehicle looks like three wheeler in which manual operation is replaced by compressed air pressure. The following report gives a brief description of how a compressed air vehicle using this technology was made. While developing of this vehicle, control of compressed air parameters like temperature, energy density, requirement of input power, energy release and emission control have to be mastered for the development of a safe, light and cost effective compressed air vehicle in near future.

View PDFchevron_right
Non-linear Modeling and Cascade Control of an Industrial Pneumatic Actuator System
Sy Najib Sy Salim

Australian Journal of Basic and Applied Sciences, 2011

In this paper, a nonlinear mathematical modeling based on fundamental physical derivation is presented. The mass flow rate, pressure dynamic and equation of motion are derived referring to the previous research. Simulation work is done to confirm the model based on this derivation. Cascade control based on PID and P controller is designed through simulation in SIMULINK where the parameters of the controller are obtained through PID with optimization toolbox. The results reveal that both step and sinusoidal response test, the cascade controller consistently indicates outperform performance compared to classical PID method. In future, it is recommended to apply this technique to the real-time implementation.

View PDFchevron_right

References (62)

  1. S. B. M. Noor, et al., "Design of combined robust controller for a pneumatic servo actuator system with uncertainty," Sci. Res. Essays, vol. 6, no. 4, pp. 949-965, 2011.
  2. T. D. C. Thanh and K. K. Ahn, "Nonlinear PID control to improve the control performance of the pneumatic artificial muscle manipulator using neural network," Mechatronics, vol. 16, no. 9, pp. 577-587, Nov 2006.
  3. J. F. Carneiro and F. G. De Almeida, "A high-accuracy trajectory following controller for pneumatic devices," Int. J. Adv. Manuf. Technol., vol. 61, pp. 253-267, 2012.
  4. S. Aziz and G. Bone, "Automatic tuning of an accurate position controller for pneumatic actuators," Proceedings. 1998 IEEE/RSJ Int. Conf. Intell. Robot. Syst. Innov. Theory, Pract. Appl. (Cat. No.98CH36190), vol. 3, pp. 1782-1788, 1998.
  5. B. Lu, et al., "Modeling and control of the pneumatic constant pressure system for zero gravity simulation," 2008 IEEE/ASME International Conference on Advanced Intelligent Mechatronics, pp. 688-693, 2008.
  6. R. Rosli, et al., "Active suspension system for passenger vehicle using active force control with iterative learning algorithm," WSEAS Trans. Syst. Control, vol. 9, pp. 120-129, 2014.
  7. F. Bu and H. S. Tan, "Pneumatic brake control for precision stopping of heavy-duty vehicles," IEEE Trans. Control Syst. Technol., vol. 15, pp. 53-64, 2007.
  8. J. Schröder, et al., "Improved Control of a Humanoid Arm Driven by Pneumatic Actuators," Int. Conf. Humanoid Robot, pp. 1-20, 2003.
  9. B. E. Student, et al., "Electro-Pneumatic Lift and Carry Conveying System," International Journal of Science Technology & Engineering, vol. 2, no. 10, pp. 904-907, 2016.
  10. M. F. Rahmat, et al., "Review on Modeling and Controller Design," Int. J. Smart Sens. Intell. Syst., vol. 4, No. 4, pp. 630-661, Jan 2011.
  11. B. Taheri, et al., "Design of robust nonlinear force and stiffness controller for pneumatic actuators," 2012 IEEE 51 st IEEE Conference on Decision and Control (CDC), Maui, HI, pp. 1192-1198, 2012.
  12. S. C. Hsu and C. Y. Lin, "Periodic motion control of a heavy duty pneumatic actuating table using low-cost position sensors and hybrid repetitive control," IEEE Int. Symp. Ind. Electron., pp. 1-6, 2013.
  13. G. M. Bone, et al., "Position control of hybrid pneumatic-electric actuators using discrete-valued model-predictive control," Mechatronics, vol. 25, pp. 1-10, 2015.
  14. K. Hamiti, et al., "Position control of a pneumatic actuator under the influence of stiction," Control Engineering Practice, vol. 4, no. 8, pp. 1079-1088, 1996.
  15. S. Cai, et al., "Cylinder position servo control based on fuzzy PID," J. Appl. Math., vol. 2013, pp. 1-10, Nov 2013.
  16. C. Q. Huang, "Robust Nonlinear PID Controllers for Anti-windup Design of Robot Manipulators with an Uncertain Jacobian Matrix," Acta Autom. Sin., vol. 34, no. 9, pp. 1113-1121, 2009.
  17. J. Tong and T. Yu, "Nonlinear PID control design for improving stability of micro-turbine systems," 2008 3 rd Int. Conf. Electric Utility Deregul. Restruct. Power Technol., pp. 2515-2518, 2008.
  18. L. Reznik, et al., "PID plus fuzzy controller structures as a design base for industrial applications," Eng. Appl. Artif. Intell., vol. 13, no.4, pp. 419-430, 2000.
  19. P. Mishra, et al., "A novel intelligent controller for combating stiction in pneumatic control valves," Control Eng. Pract., vol. 33, pp. 94-104, December 2015.
  20. V. Prabhakaran, et al., "Design of a controller for the pneumatic flow control valve and pressure regulation for application related to pneumatically powered orthosis," 2016 International Conference on Information Communication and Embedded Systems (ICICES), Chennai, pp. 1-5, 2016.
  21. R. R. Sumar, et al., "Computational intelligence approach to PID controller design using the universal model," Inf. Sci. (Ny)., vol. 180, no. 20, pp. 3980-3991, 2010.
  22. O. Arrieta, et al., "PID autotuning for weighted servo/regulation control operation," J. Process Control, vol. 20, no. 4, pp. 472-480, 2010.
  23. C. J. Chiang and Y. C. Chen, "Neural network fuzzy sliding mode control of pneumatic muscle actuators," Eng. Appl. Artif. Intell., vol. 65, pp. 68-86, October 2017.
  24. R. B. Van Varseveld and G. M. Bone, "Accurate Position Control of a Pneumatic Actuator Using On / Off Solenoid Valves," in IEEE/ASME Transactions on Mechatronics, vol. 2, no. 3, pp. 195-204, 1997.
  25. A. Saleem, et al., "Mixed-reality environment for frictional parameters identification in servo-pneumatic system," Simul. Model. Pract. Theory, vol. 17, no.10, pp. 1575-1586, 2009.
  26. J. Wang, et al., "A practical control strategy for servo-pneumatic actuator systems," Control Eng. Pract., vol. 7, no. 12, pp. 1483-1488, 1999.
  27. A. Ilchmann, et al., "Pneumatic cylinders: Modelling and feedback force-control," Int. J. Control, vol. 79, no. 6, pp. 1-21, 2005.
  28. J. E. Takosoglu, et al., "Rapid prototyping of fuzzy controller pneumatic servo-system," Int. J. Adv. Manuf. Technol., vol. 40, no. 3, pp. 349-361, 2009.
  29. M. Papoutsidakis, et al., "Modeling and Simulated Control of Non-Linear Switching Actuation Systems," 8 th International Conference on System Science and Simulation in Engineering, pp. 97-102, October 2009.
  30. H. K. Lee, et al., "A study on tracking position control of pneumatic actuators," Mechatronics, vol. 12, no. 6, pp. 813-831, July 2002.
  31. A. A. M. Faudzi, et al., "Controller design for simulation control of Intelligent Pneumatic Actuators (IPA) system," Procedia Eng., vol. 41, pp. 593-599, 2012.
  32. A. Saleem, et al., "Identification and cascade control of servo-pneumatic system using Particle Swarm Optimization," Simul. Model. Pract. Theory, vol. 52, pp. 164-179, March 2015.
  33.  ISSN: 1693-6930
  34. TELKOMNIKA Telecommun Comput El Control, Vol. 18, No. 1, February 2020: 332 -342 342
  35. S. N. S. Salim, et al., "Position control of pneumatic actuator using self-regulation nonlinear PID," Math. Probl. Eng., vol. 2014, pp. 1-12, June 2014.
  36. S. N. S. Salim, et al., "A Study on Tracking Performance of the Pneumatic System with Enhanced NPID Controller," 2015 10 th Asian Control Conference (ASCC), pp. 1-6, 2015.
  37. B. Yao, et al., "Empirical modeling and position control of single pneumatic artificial muscle," Control Eng. Appl. Informatics, vol. 18, no. 2, pp. 86-94, 2016.
  38. N. N. Son, et al., "A novel adaptive feed-forward-PID controller of a SCARA parallel robot using pneumatic artificial muscle actuator based on neural network and modified differential evolution algorithm," Rob. Auton. Syst., vol. 96, pp. 65-80, October 2017.
  39. G. Yang, et al., "Asymmetric Fuzzy Control of a Positive and Negative Pneumatic Pressure Servo System," Chinese J. Mech. Eng., vol. 30, no. 6, pp. 1438-1446, 2017.
  40. N. Kanagaraj and K. S. Nisar, "Fuzzy Fractional-Order PID Controller for Fractional Model of Pneumatic Pressure System," Mathematical Problems in Engineering, vol. 2018, pp.1-9, 2018.
  41. C. D. E. Investigaci, "Design of a tracking controller of a siso system of pneumatic servopositioning [in Spanish: Diseño de un controlador de seguimiento para un sistema siso de servoposicionamiento neumatico," Ingeniería y Desarrollo, vol. 36, no.1, 2018.
  42. J. Song and Y. Ishida, "A robust sliding mode control for pneumatic servo systems," Int. J. Eng. Sci., vol. 35, no. 8, pp. 711-723, June 1997.
  43. E. Richer and Y. Hurmuzlu, "A High-Performance Pneumatic Force Actuator System Part 2-Nonlinear Controller Design," ASME J. Dyn. Syst. Meas. Control, vol. 122, no.3, pp. 426-434, 2000.
  44. S. R. Pandian, et al., "Pressure observer-controller design for pneumatic cylinder actuators," in IEEE/ASME Trans. Mechatronics, vol. 7, no. 4, pp. 490-499, Dec 2002.
  45. E. J. Barth, et al., "Sliding mode approach to PWM-controlled pneumatic systems," Proc. 2002 Am. Control Conf. (IEEE Cat. No.CH37301), vol. 3, pp. 2362-2367, Feb 2002.
  46. G. M. Bone and S. Ning, "Experimental comparison of position tracking control algorithms for pneumatic cylinder actuators," IEEE/ASME Trans. Mechatronics, vol. 12, no. 5, pp. 557-561, Oct 2007.
  47. Y. C. Tsai and A. C. Huang, "Multiple-surface sliding controller design for pneumatic servo systems," Mechatronics, vol. 18, no. 9, pp. 506-512, 2008.
  48. D. H. Yuan, et al., "Global sliding mode variable structure control applied to pneumatic servo system," 2008 IEEE International Symposium on Knowledge Acquisition and Modeling Workshop, pp. 806-809, 2008.
  49. H. Zhao, et al., "Two-layer Sliding Mode Control of Pneumatic Position Synchro System with Feedback Linearization Based on Friction Compensation," 2008 Int. Work. Rob. Sensors Environments, pp. 41-45, 2008.
  50. C. H. Chen, et al., "Design and Realization of a Sliding Mode Control Scheme for a Pneumatic Cylinder X-Y Axles Position Servo System," IET Int. Conf. Front. Comput. Theory, Technol. and Appl., Taichung, 2010, pp. 416-421.
  51. S. Hodgson, et al., "Sliding-mode control of nonlinear discrete-input pneumatic actuators," 2011 IEEE/RSJ International Conference on Intelligent Robots and Systems, pp. 738-743, 2011.
  52. A. Estrada and F. Plestan, "Second order sliding mode output feedback control with switching gains Application to the control of a pneumatic actuator," J. Franklin Inst., vol. 351, no. 4, pp. 2335-2355, 2014.
  53. A. Rezoug, et al., "Experimental Study of Nonsingular Terminal Sliding Mode Controller for Robot Arm Actuated by Pneumatic Artificial Muscles," IFAC Proceedings Volumes, vol. 47, no. 3, pp. 10113-10118, 2014.
  54. A. Ayadi, et al., "Chattering-free adaptive sliding mode control for pneumatic system position tracking," 16 th Int. Conf. Sci. Tech. Autom. Control Comput. Eng. STA 2015, pp. 752-757, 2015.
  55. M. C. Hidalgo and C. Garcia, "Friction compensation in control valves: Nonlinear control and usual approaches," Control Eng. Pract., vol. 58, pp. 42-53, January 2017.
  56. M. Krstic, et al., "Nonlinear and adaptive control design", John Wiley and Sons, 1995.
  57. J. J. Slotine and W. Li, "Applied Nonlinear Control," Prentice-Hall, Inc., 1991.
  58. X. Gao and Z. J. Feng, "Design study of an adaptive Fuzzy-PD controller for pneumatic servo system," Control Eng. Pract., vol. 13, no. 1, pp. 55-65, January 2005.
  59. Y. Zhu and E. J. Barth, "Accurate sub-millimeter servo-pneumatic tracking using model reference adaptive control (MRAC) 1 Introduction," International Journal of Fluid Power, vol. 11, no. 2, pp. 43-55, 2010.
  60. Y. Shtessel, et al., "Lyapunov design of adaptive super-twisting controller applied to a pneumatic actuator," IFAC Proceedings Volumes, vol. 44, no. 1, pp. 3051-3056, 2011.
  61. M. Farag and N. Z. Azlan, "Adaptive Backstepping Position Control of Pneumatic Anthropomorphic Robotic Hand," Procedia Comput. Sci., vol. 76, pp. 161-167, 2015.
  62. S. Y. Chen and S. S. Gong, "Speed tracking control of pneumatic motor servo systems using observation-based adaptive dynamic sliding-mode control," Mech. Syst. Signal Process., vol. 94, pp. 111-128, Sep 2017.

Related papers

REVIEW ON MODELING AND CONTROLLER DESIGN IN PNEUMATIC ACTUATOR CONTROL SYSTEM
syed najib syed salim
View PDFchevron_right
A Review on Design and Optimization of Pneumatic Actuator using Various Mechanisms and Techniques
IJIRST - International Journal for Innovative Research in Science and Technology

Pneumatic actuators are the devices used for converting pressure energy of compressed air into the mechanical energy to perform useful work. In other words, Actuators are used to perform the task of exerting the required force at the end of the stroke or used to create displacement by the movement of the piston. The pressurized air from the compressor is supplied to reservoir. The pressurized air from storage is supplied to pneumatic actuator to do work. The air cylinder is a simple and efficient device for providing linear thrust or straight line motions with a rapid speed of response. Friction losses are low, seldom exceeds 5 % with a cylinder in good condition, and cylinders are particularly suitable for single purpose applications and /or where rapid movement is required. Their chief limitation is that the elastic nature of the compressed air makes them unsuitable for powering movement where absolutely steady forces or motions are required applied against a fluctuating load, or where extreme accuracy of feed is necessary. The air cylinder is also inherently limited in thrust output by the relatively low supply pressure so that production of high output forces can only be achieved by a large size of the cylinders. The objective of this paper is to focus the design, analysis and optimization of critical components of pneumatic actuator to achieve the improved yield or output in terms of torque. This paper gives detailed study of different mechanism, techniques adopted by several researchers in design and optimization of pneumatic actuators. Generally, selection of materials, modifications in mechanism and controlling the variable parameters is the point of focus for the improvement in actuators.

View PDFchevron_right
A review of pneumatic actuators (modeling and control)
Hazem ali

Australian Journal of Basic …, 2009

The pneumatic actuator represents the main force control operator in many industrial applications, where its static and dynamic characteristics play an important role in the overall behavior of the control system. Therefore improving the dynamic behavior of the pneumatic actuator is of prime interest to control system designers. This paper is a review of literature that related of the pneumatic actuator systems. In particular, the innovations in different control strategies applied to pneumatic actuators along with the modeling, controlling and simulation techniques developed for different applications of pneumatic actuators are reviewed. The review concentrates also on the analysis, investigation, performance, practical constraints, nonlinearities, uncertainties and the new applications of the pneumatic actuators.

View PDFchevron_right
Dynamic Control of Pneumatic Actuator System
Viorel Stoian

SCIENTIFIC RESEARCH AND EDUCATION IN THE AIR FORCE, 2016

Pneumatic actuators are among the most used non-electric drive systems. The cost, simplicity of control and mechanical structure are some of the advantages they impose. The main disadvantage of this type of drives consists in unable control of intermediate positioning and dynamic movement. The paper also presents a hybrid drive system, with the actuator pneumatic piston and magnetorheological element for control. This drive system allows complete control of piston displacement and movement dynamics. We also present the experimental results obtained in order to determine the parameters of magnetorheological element for different operating modes.

View PDFchevron_right
Modeling and Controller Design of Pneumatic Actuator System with Control Valve
Mohd Fua'ad Rahmat

International Journal on Smart Sensing and Intelligent Systems, 2012

Pneumatic actuators offer several advantages over electromechanical and hydraulic actuators for positioning applications. Nonetheless, pneumatic actuators are subject to high friction forces, dead band and dead time, which make fast and accurate position control difficult to achieve. This research paper presents the process of controller identification, design, modeling and control for pneumatic actuator system. System Identification approach is used with the purpose to estimate the mathematical model of pneumatic actuator system and for controller design. Data collection of input and output signal of the system has been performed from experiment procedure. This data is used for estimate the model by selecting Auto-Regressive Exogenous (ARX) model as a model structure. The accepted model is based validation test namely as residual correlation, Akaike Final Prediction Error and best fit percentage. Different control schemes such as PID and LQR (Linear Quadratic Regulator) have been a...

View PDFchevron_right

Related topics

  • Computer Science
  • Instrumentation and control engi...

    • Cited by

    Numerical simulation of pneumatic throttle check valve using computational fluid dynamics (CFD)
    Natalia Marszałek

    Scientific Reports

    The article presents a numerical CFD simulation of a throttle-check valve used in an innovative control system for two pneumatic drives. This type of control is used in an innovative rehabilitation device for lower limbs. In order to determine the boundary conditions, experimental tests were carried out. The throttle valves on the test stand were scaled and the air flow rate values were read for different valve opening heights. The purpose of this article is to present a CFD simulation of a pre-adjusted check valve throttle. Numerical simulation (CFD) makes it possible to study the flow phenomena inside a pneumatic throttle-check valve, with different sizes of flow gaps. The obtained results made it possible to determine the distribution of physical quantities of static pressure, the velocity of the medium flowing through the valve, or the vector velocity distribution. The throttle valve assembly has been scaled for a suitable degree of synchronization of the movement of the piston ...

    View PDFchevron_right
    580 California St., Suite 400
    San Francisco, CA, 94104
    © 2025 Academia. All rights reserved