Next Article in Journal
Self-Assembled 3D ZnO Porous Structures with Exposed Reactive {0001} Facets and Their Enhanced Gas Sensitivity
Previous Article in Journal
Measurement of the Robot Motor Capability of a Robot Motor System: A Fitts’s-Law-Inspired Approach
Sensors 2013, 13(7), 8431-8444; doi:10.3390/s130708431
Article

Active Pneumatic Vibration Control by Using Pressure and Velocity Measurements and Adaptive Fuzzy Sliding-Mode Controller

* ,
 and
Ming Chi University of Technology, No. 84, Gungjuan Road, Taishan, New Taipei City 243, Taiwan
* Author to whom correspondence should be addressed.
Received: 14 May 2013 / Revised: 24 June 2013 / Accepted: 28 June 2013 / Published: 2 July 2013
(This article belongs to the Section Physical Sensors)
View Full-Text   |   Download PDF [503 KB, uploaded 21 June 2014]   |   Browse Figures

Abstract

This paper presents an intelligent control strategy to overcome nonlinear and time-varying characteristics of a diaphragm-type pneumatic vibration isolator (PVI) system. By combining an adaptive rule with fuzzy and sliding-mode control, the method has online learning ability when it faces the system’s nonlinear and time-varying behaviors during an active vibration control process. Since the proposed scheme has a simple structure, it is easy to implement. To validate the proposed scheme, a composite control which adopts both chamber pressure and payload velocity as feedback signal is implemented. During experimental investigations, sinusoidal excitation at resonance and random-like signal are input on a floor base to simulate ground vibration. Performances obtained from the proposed scheme are compared with those obtained from passive system and PID scheme to illustrate the effectiveness of the proposed intelligent control.
Keywords: pneumatic vibration isolation (PVI) system; adaptive fuzzy sliding-mode controller; online learning ability pneumatic vibration isolation (PVI) system; adaptive fuzzy sliding-mode controller; online learning ability
This is an open access article distributed under the Creative Commons Attribution License which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.

Share & Cite This Article

Export to BibTeX |
EndNote


MDPI and ACS Style

Chen, H.-Y.; Liang, J.-W.; Wu, J.-W. Active Pneumatic Vibration Control by Using Pressure and Velocity Measurements and Adaptive Fuzzy Sliding-Mode Controller. Sensors 2013, 13, 8431-8444.

View more citation formats

Related Articles

Article Metrics

Comments

Citing Articles

[Return to top]
Sensors EISSN 1424-8220 Published by MDPI AG, Basel, Switzerland RSS E-Mail Table of Contents Alert