Intelligent optimizing of PH controller parameters for fermentation process of glutamic acid

Author

Guicheng, Wang ; Jing, Chang ; Yong, Wang ; Xinhe, Xu ; Xiaojian, Wang

Author_Institution

Coll. of Inf. Sci. & Eng., Northeastern Univ., Shenyang

fYear

2008

fDate

2-4 July 2008

Firstpage

4275

Lastpage

4279

Abstract

The pH value control for fermentation process of glutamic acid is taken as the research object. By processing the obtained data from field, PH control model is constructed by BP neural network. The control system is composed of combining PID controller and PH control model, and the parameters of the control system are optimized by the improved genetic algorithm. The simulation results show that the obtained optimization controller parameters are satisfied to the actual production need.

Keywords

backpropagation; fermentation; genetic algorithms; neurocontrollers; pH control; process control; three-term control; BP neural network; PH value control; PID controller; fermentation process; genetic algorithm; glutamic acid; intelligent optimization; Amino acids; Control system synthesis; Educational institutions; Genetic algorithms; Intelligent networks; Intelligent structures; Neural networks; Pareto optimization; Process control; Three-term control; Controller Parameters; Fermentation Process; Genetic Algorithm; Neural Network; Optimization;

fLanguage

English

Publisher

ieee

Conference_Titel

Control and Decision Conference, 2008. CCDC 2008. Chinese

Conference_Location

Yantai, Shandong

Print_ISBN

978-1-4244-1733-9

Electronic_ISBN

978-1-4244-1734-6

Type

conf

DOI

10.1109/CCDC.2008.4598136

Filename

4598136