Genetic Algorithms in Search, Optimization and Machine Learning
Genetic Algorithms in Search, Optimization and Machine Learning
Scientific Computing: An Introductory Survey
Scientific Computing: An Introductory Survey
Improvement of genetic algorithm performance for identification of cultivation process models
EC'08 Proceedings of the 9th WSEAS International Conference on Evolutionary Computing
Hi-index | 0.00 |
In this paper a universal discrete PID controller for the control of E. coli fed-batch cultivation processes is designed. The controller is used to control feed rate and to maintain glucose concentration at the desired set point. Tuning the PID controller, to achieve good closed-loop system performance, using genetic algorithms is proposed. As a result the optimal PID controller settings are obtained. For a short time the controller sets the control variable and maintains it at the desired set point during the process. Application of the designed controller provides maintaining of the accuracy and efficiency of the system performance.