제어로봇시스템학회:학술대회논문집
- 1994.10a
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- Pages.725-730
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- 1994
Control system with neural networks for product crystal size of sodium chloride
- Shinto, Toshiharu (Engineering RandD Center, Japan Tobacco Inc.) ;
- Ishimaru, Naoyuki (Engineering RandD Center, Japan Tobacco Inc.)
- Published : 1994.10.01
Abstract
A sodium chloride crystallizer shows oscillatory and nonlinear characteristics under its nucleating and growing process. Because these characteristics vary with operational condition, we can't control the product crystal size exactly with a PID controller or a sequence controller. Then, we make a model with threefold neural networks for the laboratory equipment that is a jet mixing crystallizer. We try to control the product crystal size with its neuro-model, and we reach the conclusion that our neuro-model is applicable to the practical crystallizer.
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