Research on controller parameters intelligent optimizing for glutamic acid fermentation process

Fermentation process of glutamic acid is a very complicated industry process, which needs different environment parameters and has seriously nonlinear and instability. So the key is to choice the suited controller parameters to ensure a valid automatic control for fermentation process that is essent...

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Bibliographic Details
Main Authors: Guicheng Wang, Yang Jiao, Zhansheng Zhang, Wendan Zhao, Shuzhi Gao, Xinhe Xu
Format: Conference Proceeding
Language:English
Subjects:
Amino acids
Automatic control
Control system synthesis
Control theory
Controller Parameters
Fermentation Process
Genetic Algorithm
Genetic algorithms
Intelligent networks
Iterative algorithms
Neural Network
Neural networks
Optimization
Process control
Three-term control
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Summary:Fermentation process of glutamic acid is a very complicated industry process, which needs different environment parameters and has seriously nonlinear and instability. So the key is to choice the suited controller parameters to ensure a valid automatic control for fermentation process that is essential. By studying optimizing method of PID controller parameters, the PH value control for fermentation process of glutamic acid has taken as the research object. The field data is processed, the process model of PH value control by BP nerve network is constituted, the control system has built by combining the PID controller and the model, the parameters of the control system have optimized by the improved genetic algorithm. The simulation result indicated that the obtained optimization controlled parameters satisfy to the performance need.
ISSN:1948-9439
1948-9447
DOI:10.1109/CCDC.2010.5498382