TY - GEN
T1 - PID gain tuning method for oil refining controller based on neural networks
AU - Abe, Yoshihiro
AU - Konishi, Masami
AU - Imai, Jun
AU - Hasagawa, Ryuusaku
AU - Watanabe, Masanori
AU - Kamijo, Hiroaki
PY - 2007/1/1
Y1 - 2007/1/1
N2 - In these years, plant control systems are being highly automated. But the control performances change with the passage of time, so it is necessary to tune them. This is why human experts tune the control system to improve the total plant performances. In this study, PID control system for the oil refining chemical plant process is treated. In the oil refining controller, there are thousands of the control loops in the plant to keep the product quality desired value and to secure the safety of the plant operation. According to the ambiguity of the interference between the control loops, it is difficult to estimate the plant dynamic model accurately. Neuro emulator is employed to model the plant characteristics. Combining neuro emulator and RNN model, auto tuning system of PID control gains has been constructed. Through numerical experiments using actual plant data, the effect of the proposed method was ascertained.
AB - In these years, plant control systems are being highly automated. But the control performances change with the passage of time, so it is necessary to tune them. This is why human experts tune the control system to improve the total plant performances. In this study, PID control system for the oil refining chemical plant process is treated. In the oil refining controller, there are thousands of the control loops in the plant to keep the product quality desired value and to secure the safety of the plant operation. According to the ambiguity of the interference between the control loops, it is difficult to estimate the plant dynamic model accurately. Neuro emulator is employed to model the plant characteristics. Combining neuro emulator and RNN model, auto tuning system of PID control gains has been constructed. Through numerical experiments using actual plant data, the effect of the proposed method was ascertained.
UR - http://www.scopus.com/inward/record.url?scp=39049132187&partnerID=8YFLogxK
UR - http://www.scopus.com/inward/citedby.url?scp=39049132187&partnerID=8YFLogxK
U2 - 10.1109/ICICIC.2007.454
DO - 10.1109/ICICIC.2007.454
M3 - Conference contribution
AN - SCOPUS:39049132187
SN - 0769528821
SN - 9780769528823
T3 - Second International Conference on Innovative Computing, Information and Control, ICICIC 2007
BT - Second International Conference on Innovative Computing, Information and Control, ICICIC 2007
PB - IEEE Computer Society
T2 - 2nd International Conference on Innovative Computing, Information and Control, ICICIC 2007
Y2 - 5 September 2007 through 7 September 2007
ER -