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Concentration Control of CSTR using NNAPC
| International Journal of Computer Applications |
| Foundation of Computer Science (FCS), NY, USA |
| Volume 26 - Number 6 |
| Year of Publication: 2011 |
| Authors: Hossein Ebadi Kalhoodashti |
10.5120/3106-4265
|
Hossein Ebadi Kalhoodashti . Concentration Control of CSTR using NNAPC. International Journal of Computer Applications. 26, 6 ( July 2011), 34-38. DOI=10.5120/3106-4265
Abstract
This paper presents a new advanced control algorithm for Concentration tracking of a continuous stirring tank reactor (CSTR). This algorithm called: Neural Network Approximate Generalized Predictive Control (NNAPC) that uses a combination of Artificial Neural Network (ANN) with Approximate Generalized Predictive Control technique (APC). This algorithm is based on the use of ANN as a nonlinear prediction model of the CSTR. This modeling technique is done by using the data from the system input/output information without requiring the knowledge about CSTR parameters. The outputs of the neural predictor are the future values of the controlled variables needed by the optimization algorithm. Simulation results show the effectiveness of the proposed control method.
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