Wir verwenden Cookies und Analyse-Tools, um die Nutzerfreundlichkeit der Internet-Seite zu verbessern und für Marketingzwecke. Wenn Sie fortfahren, diese Seite zu verwenden, nehmen wir an, dass Sie damit einverstanden sind. Zur Datenschutzerklärung.
Real Time Identification & Control of Pneumatic Systems
Details
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.
Autorentext
"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."
Weitere Informationen
- Allgemeine Informationen
- GTIN 09783846518984
- Auflage Aufl.
- Sprache Englisch
- Genre Allgemeines & Lexika
- Größe H220mm x B220mm
- Jahr 2012
- EAN 9783846518984
- Format Kartonierter Einband (Kt)
- ISBN 978-3-8465-1898-4
- Titel Real Time Identification & Control of Pneumatic Systems
- Autor Bashar Taha , Ashraf Saleem , Ahmad Al-Qaisia
- Untertitel Identification of Pneumatic System using Particle Swarm Optimization (PSO)
- Herausgeber LAP Lambert Academic Publishing
- Anzahl Seiten 92