In an effort to overcome the nonlinerities associated with a pneumatic system the variable structure control (VSC) technique has been employed to control the position of a pneumatic actuator. To accomplish this a model of a pneumatic actuator was developed to allow the control systems to be studied via simulations. The results from the simulations indicated that the VSC technique can position the actuator rapidly, via first-order trajectory, in response to a step input. An experimental study of the VSC control system was then performed. These experiments verified the simulation work, and demonstrated that inherent system delays and the quantisation of the control signals can cause and uncontrollable oscillatory behaviour; stability limits were established for three of the system parameters. It was also found, that the actuator could be placed within ±5 mm of the desired position.
Skip Nav Destination
Article navigation
March 1995
Technical Briefs
Variable Structure Control of a Pneumatic Actuator
J. Tang
Ruska Instrument Corporation, Houston, TX 77263
G. Walker
Department of Mechanical Engineering, Manhattan College, Riverdale, NY 10471
J. Dyn. Sys., Meas., Control. Mar 1995, 117(1): 88-92 (5 pages)
Published Online: March 1, 1995
Article history
Received:
August 1, 1991
Revised:
July 1, 1993
Online:
December 3, 2007
Citation
Tang, J., and Walker, G. (March 1, 1995). "Variable Structure Control of a Pneumatic Actuator." ASME. J. Dyn. Sys., Meas., Control. March 1995; 117(1): 88–92. https://doi.org/10.1115/1.2798526
Download citation file:
Get Email Alerts
Hybrid Kinematic-dynamic Sideslip and Friction Estimation
J. Dyn. Sys., Meas., Control
Koopman Model Predictive Control of an Integrated Thermal Management System for Electric Vehicles
J. Dyn. Sys., Meas., Control
Electromagnetic Model of Linear Resonant Actuators
J. Dyn. Sys., Meas., Control (May 2023)
Discrete Robust Control of Robot Manipulators Using an Uncertainty and Disturbance Estimator
J. Dyn. Sys., Meas., Control (May 2023)
Related Articles
Thermic Influence on the Dynamics of Pneumatic Servosystems
J. Dyn. Sys., Meas., Control (March,2009)
Sliding-Mode Observer as a Time-Variant Estimator for Control of Pneumatic Systems
J. Dyn. Sys., Meas., Control (September,2005)
Reliable Dissipative Sampled-Data Control for Uncertain Systems With Nonlinear Fault Input
J. Comput. Nonlinear Dynam (July,2016)
Control Design for Relative Stability in a PWM-Controlled Pneumatic System
J. Dyn. Sys., Meas., Control (September,2003)
Related Proceedings Papers
Related Chapters
Dynamic Control Strategy of a Biped Inspired from Human Walking
Intelligent Engineering Systems through Artificial Neural Networks Volume 18
A Comparative Study of Time Delay Neural Networks and Hidden Markov Models for Electroencephalographic Signal Classification
Intelligent Engineering Systems through Artificial Neural Networks, Volume 16
A New Mobile Haptic Game for Dynamic Objects
International Conference on Software Technology and Engineering (ICSTE 2012)