Real Time Identification & Control of Pneumatic Systems : Identification of Pneumatic System using Particle Swarm Optimization (PSO)

Bashar Taha

ISBN 10: 3846518980 / ISBN 13: 9783846518984

Published by LAP Lambert Academic Publishing, 2012

About this Item

nach der Bestellung gedruckt Neuware - Printed after ordering - Servo pneumatic systems have properties that can make them favorable for servo applications. The actuators themselves are of simple construction, making them low in cost. They have a high power-to-weight ratio. Compressed air is readily available in most industrial environments. Air is highly compressible, which makes the systems behavior highly non-linear, and designing a controller for such systems very complicated. The complexity arises in acquiring the system s transfer function accurately, which causes a great difficulty in servo-pneumatic system modeling and control, Moreover, it is highly complicated to adopt a strategy that does not require a lot of time in building a controller.Therefore, this research strives to apply a methodology for identification and control of servo pneumatic using a particle swarm optimization technique as the tuning method in the controller design. Moreover it aims at applying the concept of Hardware in the loop (HIL) as a real time simulation environment which allows the system to be controlled easily without damaging any component of the system or extra cost in building the controller itself by replacing components according to application.

Seller Inventory # 9783846518984

Bibliographic Details

• Title: Real Time Identification & Control of Pneumatic Systems : Identification of Pneumatic System using Particle Swarm Optimization (PSO)
• Publisher: LAP Lambert Academic Publishing
• Publication Date: 2012
• Language: English
• ISBN 10: 3846518980
• ISBN 13: 9783846518984
• Binding: Taschenbuch
• Condition: Neu
• Dimensions: 220W x 176H x 33D millimeters 220 millimeters width by 176 millimeters height by 33 millimeters depth
• Weight: 153 grams

About this title

Synopsis

Servo pneumatic systems have properties that can make them favorable for servo applications. The actuators themselves are of simple construction, making them low in cost. They have a high power-to-weight ratio. Compressed air is readily available in most industrial environments. Air is highly compressible, which makes the systems’ behavior highly non-linear, and designing a controller for such systems very complicated. The complexity arises in acquiring the system’s transfer function accurately, which causes a great difficulty in servo-pneumatic system modeling and control, Moreover, it is highly complicated to adopt a strategy that does not require a lot of time in building a controller.Therefore, this research strives to apply a methodology for identification and control of servo pneumatic using a particle swarm optimization technique as the tuning method in the controller design. Moreover it aims at applying the concept of Hardware in the loop (HIL) as a real time simulation environment which allows the system to be controlled easily without damaging any component of the system or extra cost in building the controller itself by replacing components according to application.

About the Author

"Bashar Taha, Product Manager in United Traders Company for Packaging & Machinery/Jordan. He obtained his B.Sc in Mechatronics Engineering in 2005 from Hashemite University and his M.Sc Degree in Applied Mechanics/Mechanical Engineering from University of Jordan in 2010."