An experimental comparison between several pneumatic position control methods

Author

Chillari, S. ; Guccione, S. ; Muscato, G.

Volume

2

fYear

2001

fDate

2001

Firstpage

1168

Abstract

In this paper an experimental comparison is made between six different techniques to control the position of a pneumatic actuator. Six different reference signals have been tested on each control technique. The methods considered are: (A) PID, (B) fuzzy, (C) PID with pressure feedback, (D) fuzzy with pressure feedback, (E) sliding mode and (F) neuro-fuzzy control. In the last method, proposed by the authors, the differential pressure sensor has been replaced by a neural network based estimator. Details of each control method and the results obtained are given and finally a global comparison is made with several critical considerations

Keywords

actuators; feedback; fuzzy control; fuzzy neural nets; neurocontrollers; pneumatic control equipment; position control; pressure control; three-term control; variable structure systems; PID control; differential pressure sensor; neural network based estimator; neuro-fuzzy control; pneumatic actuator; pneumatic position control methods; pressure feedback; sliding mode control; Control systems; Fuzzy control; Neurofeedback; Pneumatic actuators; Pneumatic systems; Position control; Pressure control; Proportional control; Sliding mode control; Three-term control;

fLanguage

English

Publisher

ieee

Conference_Titel

Decision and Control, 2001. Proceedings of the 40th IEEE Conference on

Conference_Location

Orlando, FL

Print_ISBN

0-7803-7061-9

Type

conf

DOI

10.1109/.2001.981043

Filename

981043