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 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.
Fermentation Process Genetic Algorithm Neural Network Controller Parameters Optimization
Guicheng Wang Yang Jiao Zhansheng Zhang Wendan Zhao Shuzhi Gao Xinhe Xu
College of Information Engineering, Shenyang Institute of Chemical Technology, Shenyang , 110142 Sch College of Information Engineering, Shenyang Institute of Chemical Technology, Shenyang , 110142 School of Information Science and Engineering, Northeastern University, Shenyang, 110004
国际会议
The 22nd China Control and Decision Conference(2010年中国控制与决策会议)
徐州
英文
4196-4200
2010-05-26（万方平台首次上网日期，不代表论文的发表时间）