Title :
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
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;
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
DOI :
10.1109/CCDC.2008.4598136
