NDLI: Experimental modeling of a pneumatic system

Content Provider	IEEE Xplore Digital Library
Author	Zorlu, A. Ozsoy, C. Kuzucu, A.
Copyright Year	2003
Description	Author affiliation: Fac. of Mech. Eng., Istanbul Tech. Univ., Turkey (Zorlu, A.; Ozsoy, C.; Kuzucu, A.)
Abstract	To know system model, structure and real parameters very well will increase the success of the control to be applied on it. This paper presents an experimental modelling study on a pneumatic system. PRBS signals are applied to the servovalves and system responses as position and chamber pressures are recorded. Later these data are digitally processed and input-output data for identification models are created. Pneumatic system model consists of a combination of two pressure models which each of them has two inputs and one output, defining pressure changes in the chambers and a velocity model which has one input-one output, defining piston motion. Parameters of the pressure models and the velocity model that are installed considering the mathematical equations of the system are identified by using Adaptech Midsys identification software. So, discrete-time models are obtained. Later they are converted into continuous-time models. During the identification, extended least squares method, parameter adaptation algorithm with decreasing gain and canonical parametrization of Guidorzi have been applied. As a result, parameters of the pneumatic system such as friction coefficients, moving mass, valve coefficients etc. are identifiable.
Sponsorship	IEEE Ind. Electron. Soc. UNINOVA & Univ. Nova de Lisboa-FCT- DEE
Starting Page	453
Ending Page	461
File Size	444179
Page Count	9
File Format	PDF
ISBN	0780379373
DOI	10.1109/ETFA.2003.1247742
Language	English
Publisher	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Publisher Date	2003-09-16
Publisher Place	Portugal
Access Restriction	Subscribed
Rights Holder	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Subject Keyword	Pneumatic systems Pistons Sliding mode control Mechanical variables control Control systems Proportional control PD control Pi control Mathematical model Friction
Content Type	Text
Resource Type	Article

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