论文信息 - Intelligent optimizing of PH controller parameters for fermentation process of glutamic acid

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

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.

[1] Tong Heng Lee,et al. On the design of multivariable PID controllers via LMI approach , 2002, Autom..

[2] Stanko Strmcnik,et al. A magnitude optimum multiple integration tuning method for filtered PID controller , 2001, Autom..

[3] Min Zhang,et al. Optimization of Controller Parameters Based on the Improved Genetic Algorithms , 2006, 2006 6th World Congress on Intelligent Control and Automation.

[4] Neil Munro,et al. Fast calculation of stabilizing PID controllers , 2003, Autom..

[5] Ossama Ismail,et al. Compliant motion control using variable structure PID control system , 2001, Proceeding of the 2001 IEEE International Symposium on Intelligent Control (ISIC '01) (Cat. No.01CH37206).

[6] Weng Khuen Ho,et al. Relay auto-tuning of PID controllers using iterative feedback tuning , 2003, Autom..

[7] Kok Kiong Tan,et al. A combined PID/adaptive controller for a class of nonlinear systems , 2001, Autom..