Applied Mechanics and Materials, 2015-01, Vol.713-715 (Mechatronics Engineering and Modern Information Technologies in Industrial Engineering), p.909-914
2015
Volltextzugriff (PDF)
Details
- Autor(en) / Beteiligte
- Titel
- Applied of RBF Neural Network in Pressure and Flow Control System
- Ist Teil von
- Applied Mechanics and Materials, 2015-01, Vol.713-715 (Mechatronics Engineering and Modern Information Technologies in Industrial Engineering), p.909-914
- Ort / Verlag
- Zurich: Trans Tech Publications Ltd
- Erscheinungsjahr
- 2015
- Quelle
- Alma/SFX Local Collection
- Beschreibungen/Notizen
- This paper is addressed water pipe pressure control method, chose a water pipe with bypass valve as an object. The paper made the pressure and flow control of the object a mathematic model. This paper design a PID control algorithm which base on RBF neural network to control the pressure and flow of the object, and simulate the control process both RBF neural network PID algorithm and PID algorithm. The last part of the paper contrasts the two simulation result.
- Sprache
- Englisch
- Identifikatoren
- ISBN: 9783038353799, 3038353795ISSN: 1660-9336, 1662-7482eISSN: 1662-7482DOI: 10.4028/www.scientific.net/AMM.713-715.909Titel-ID: cdi_proquest_miscellaneous_1864530129
- Format
- –
- Schlagworte
- Algorithms, Computer simulation, Design engineering, Flow control, Mathematical models, Neural networks, Water pipelines