TY - GEN
T1 - Automatic tuning of model predictive control using particle swarm optimization
AU - Suzuki, Ryohei
AU - Kawai, Fukiko
AU - Ito, Hideyuki
AU - Nakazawa, Chikashi
AU - Fukuyama, Yoshikazu
AU - Aiyoshi, Eitaro
PY - 2007/9/25
Y1 - 2007/9/25
N2 - This paper presents an automatic tuning method of model predictive control (MPC) using particle swarm optimization (PSO). Although conventional PID is difficult to treat constraints and future plant dynamics, MPC can treat this issues and practical control can be realized in various industrial problems. One of the challenges in MPC is how control parameters can be tuned for various target plants and usage of PSO for automatic tuning is one of the solutions. The numerical results show the effectiveness of the proposed PSO-based automatic tuning method.
AB - This paper presents an automatic tuning method of model predictive control (MPC) using particle swarm optimization (PSO). Although conventional PID is difficult to treat constraints and future plant dynamics, MPC can treat this issues and practical control can be realized in various industrial problems. One of the challenges in MPC is how control parameters can be tuned for various target plants and usage of PSO for automatic tuning is one of the solutions. The numerical results show the effectiveness of the proposed PSO-based automatic tuning method.
UR - http://www.scopus.com/inward/record.url?scp=34548743532&partnerID=8YFLogxK
UR - http://www.scopus.com/inward/citedby.url?scp=34548743532&partnerID=8YFLogxK
U2 - 10.1109/SIS.2007.367941
DO - 10.1109/SIS.2007.367941
M3 - Conference contribution
AN - SCOPUS:34548743532
SN - 1424407087
SN - 9781424407088
T3 - Proceedings of the 2007 IEEE Swarm Intelligence Symposium, SIS 2007
SP - 221
EP - 226
BT - Proceedings of the 2007 IEEE Swarm Intelligence Symposium, SIS 2007
T2 - 2007 IEEE Swarm Intelligence Symposium, SIS 2007
Y2 - 1 April 2007 through 5 April 2007
ER -