TY - GEN
T1 - The research for dissolved oxygen fuzzy PID control system based on adjustment factors in biological culture
AU - Yu, Mingxin
AU - Wang, Xiangzhou
AU - Zheng, Shuhua
PY - 2013
Y1 - 2013
N2 - The dissolved oxygen (DO) concentration in the culture solution plays an important role within the process of biological culture. The stable and accurate control of DO can maintain the normal survival and growth of microbes, cells, and tissue. However, the DO system is a typical control system with a large inertia, a longer lag time and a certain degree of uncertain control. The fuzzy PID controller with adjustment factors is presented in this paper. The paper details the structure of the biological culture system and establishes the DO control model based on the material balance formulate. The control rules of the fuzzy PID controller and adjustment factors controller according to the hypothetical process of the DO control are discussed. The idea of variable universe is introduced to design the control algorithm. The anti-interference and dynamic tracking simulations are performed in this paper. Compared with simple PID controller and conventional fuzzy PID controller, the proposed controller has been enhanced in several the performances.
AB - The dissolved oxygen (DO) concentration in the culture solution plays an important role within the process of biological culture. The stable and accurate control of DO can maintain the normal survival and growth of microbes, cells, and tissue. However, the DO system is a typical control system with a large inertia, a longer lag time and a certain degree of uncertain control. The fuzzy PID controller with adjustment factors is presented in this paper. The paper details the structure of the biological culture system and establishes the DO control model based on the material balance formulate. The control rules of the fuzzy PID controller and adjustment factors controller according to the hypothetical process of the DO control are discussed. The idea of variable universe is introduced to design the control algorithm. The anti-interference and dynamic tracking simulations are performed in this paper. Compared with simple PID controller and conventional fuzzy PID controller, the proposed controller has been enhanced in several the performances.
KW - Biological culture
KW - Dissolved oxygen
KW - Fuzzy controller with adjustment factor
KW - Variable universe
UR - http://www.scopus.com/inward/record.url?scp=84875772150&partnerID=8YFLogxK
U2 - 10.2316/P.2013.794-003
DO - 10.2316/P.2013.794-003
M3 - Conference contribution
AN - SCOPUS:84875772150
SN - 9780889869431
T3 - Proceedings of the IASTED International Conference on Modelling, Identification and Control
SP - 374
EP - 379
BT - IASTED Multiconferences - Proceedings of the IASTED International Conference on Modelling, Identification and Control, MIC 2013
T2 - 32nd IASTED International Conference on Modelling, Identification and Control, MIC 2013
Y2 - 11 February 2013 through 13 February 2013
ER -