| Autor: |
Ahmad Pishro-Asl, Majid Hatami, Amin Zadeh Shirazi |
| Rok vydání: |
2017 |
| Předmět: |
|
| Zdroj: |
International Robotics & Automation Journal. 3 |
| ISSN: |
2574-8092 |
| DOI: |
10.15406/iratj.2017.03.00058 |
| Popis: |
To prevent the destructive surge phenomenon in centrifugal compressors we usually choose the surge control line in a prudent manner which in turn cause in reducing the efficiency of compressor and results in increasing energy consumption of its actuator It requires a roughly accurate model of system performance to design an optimum controller In this paper we introduce a model based on artificial neural networks It gets the compressor RPM anti surge valve state temperatures compressor gas output flow rate and its upstream pressure as inputs We have used the measurements conducted by cybernetics laboratory of Norway University from a centrifugal compressor installed in a gas processing plant as our dataset We have achieved better results in predicting the system output in comparison to mathematical model based on state equations |
| Databáze: |
OpenAIRE |
| Externí odkaz: |
|
