A high-accuracy trajectory following controller for pneumatic devices

The use of pneumatic devices is widespread among different industrial fields, in tasks like handling or assembly. Pneumatic systems are low-cost, reliable, and compact solutions. However, its use is typically restricted to simple tasks due to the poor performance achieved in applications where accur...

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Bibliographic Details
Published inInternational journal of advanced manufacturing technology Vol. 61; no. 1-4; pp. 253 - 267
Main Authors Carneiro, J. Falcão, de Almeida, F. Gomes
Format Journal Article
LanguageEnglish
Published London Springer-Verlag 01.07.2012
Springer Nature B.V
Subjects
Actuators
CAE) and Design
Computer-Aided Engineering (CAD
Controllers
Engineering
Industrial and Production Engineering
Mechanical Engineering
Media Management
Motion control
Neural networks
Nonlinear control
Original Article
Pneumatic devices
Pneumatics
Trajectory control
Servopneumatic systems
Trajectory following industrial tasks
Nonlinear control
Artificial neural networks
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Summary:The use of pneumatic devices is widespread among different industrial fields, in tasks like handling or assembly. Pneumatic systems are low-cost, reliable, and compact solutions. However, its use is typically restricted to simple tasks due to the poor performance achieved in applications where accurate motion control is required. This paper presents a novel nonlinear controller, using neural network-based models, that allows the use of common industrial servopneumatic components in applications where fine trajectory following tasks is required. Furthermore, several experimental trials show that the system is highly robust to payload variation without any controller retuning. These results encourage the use of pneumatics actuators in a set of applications for which they have not been traditionally considered.
ISSN:0268-3768
1433-3015
DOI:10.1007/s00170-011-3695-6