Bioreactor temperature profile controller using inverse neural network (INN) for production of ethanol
| Autor: | Ubaid Imtiaz, Arash Assadzadeh, Sudhanshu Shekhar Jamuar, Jaya Narayan Sahu |
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| Rok vydání: | 2013 |
| Předmět: |
Engineering
Temperature control Artificial neural network Settling time business.industry PID controller Control engineering Dead time Industrial and Manufacturing Engineering Computer Science Applications Control and Systems Engineering Control theory Modeling and Simulation Process control business MATLAB computer computer.programming_language |
| Zdroj: | Journal of Process Control. 23:731-742 |
| ISSN: | 0959-1524 |
| Popis: | This paper presents the use of inverse neural networks (INN) for temperature control of a biochemical reactor and its effect on ethanol production. The process model is derived indicating the relationship between temperature, pH and dissolved oxygen. Using fundamental model obtained data sets; an inverse neural network has been trained using the back-propagation learning algorithm. Two types of temperature profile are used to compare the performance of the INN and conventional PID controllers. These controllers have been simulated in MATLAB for a quantitative comparison. The results obtained by the neural network based INN controller and by the PID controller are presented and compared. There is an improvement in the performance of INN controller in settling time and dead time and steady state error over the PID controller. |
| Databáze: | OpenAIRE |
| Externí odkaz: |
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