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| Design of Black Liquor Level and Concentration Control System in Alkali Recovery Evaporation Section Based on Neural Network |
| Received:March 24, 2021 |
| DOI：10.11980/j.issn.0254-508X.2021.09.013 |
| Key Words:alkali recovery black liquor level black liquor concentration neural network |
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| Abstract:Aiming at the characteristics of multi-variable， large time lag， strong coupling， and difficult control in the evaporation section of papermaking black liquor alkali recovery， the black liquor level control with PIDNN as the controller was designed. It could combine the advantages of traditional PID and neural network， not only had a simple structure， but also had adaptive learning capabilities. The black liquor concentration was designed as a neural network control based on the radial basis function （RBF）， and the concentration and flow of the black liquor were decoupled online identification， and the controller parameters were adjusted online and in real time. Practice showed that compared with traditional PID control， the adjustment time of PIDNN was reduced by about 18 s， and overshoot was reduced by about 20%； compared with BP-PID， the adjustment time of PIDNN was reduced by about 14 s. The actual value of the black liquor concentration could quickly follow the given signal， and the change of the effective black liquor flow rate had little interference to it. |
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