Abstract
Among various control methods, model predictive control (MPC) becomes one of the major control strategies and has many successful applications. This paper presents an automatic tuning method of MPC using particle swarm optimization (PSO). One of the challenges in MPC is how control parameters can be turned for various target plants and usage of PSO for automatic tuning is one of the solutions. The tuning problem of MPC is formulated as an optimization problem and PSO is applied as the optimization techniques. PSO is one of meta-heuristic methods which are known to search a global optimum at a relatively high ratio and with no use of a gradient. The numerical results for simple examples show the effectiveness of the proposed PSO-based automatic tuning method.
| Original language | English |
|---|---|
| Journal | IEEJ Transactions on Electronics, Information and Systems |
| Volume | 129 |
| Issue number | 3 |
| DOIs | |
| Publication status | Published - 2009 |
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Keywords
- Metaheuristics
- Model predictive control
- Parameter optimization
- Particle swarm optimization
ASJC Scopus subject areas
- Electrical and Electronic Engineering
Cite this
Parameter optimization of model predictive control by PSO. / Suzuki, Ryohei; Kawai, Fukiko; Nakazawa, Chikashi; Matsui, Tetsuro; Aiyoshi, Eitaro.
In: IEEJ Transactions on Electronics, Information and Systems, Vol. 129, No. 3, 2009.Research output: Contribution to journal › Article
}
TY - JOUR
T1 - Parameter optimization of model predictive control by PSO
AU - Suzuki, Ryohei
AU - Kawai, Fukiko
AU - Nakazawa, Chikashi
AU - Matsui, Tetsuro
AU - Aiyoshi, Eitaro
PY - 2009
Y1 - 2009
N2 - Among various control methods, model predictive control (MPC) becomes one of the major control strategies and has many successful applications. This paper presents an automatic tuning method of MPC using particle swarm optimization (PSO). One of the challenges in MPC is how control parameters can be turned for various target plants and usage of PSO for automatic tuning is one of the solutions. The tuning problem of MPC is formulated as an optimization problem and PSO is applied as the optimization techniques. PSO is one of meta-heuristic methods which are known to search a global optimum at a relatively high ratio and with no use of a gradient. The numerical results for simple examples show the effectiveness of the proposed PSO-based automatic tuning method.
AB - Among various control methods, model predictive control (MPC) becomes one of the major control strategies and has many successful applications. This paper presents an automatic tuning method of MPC using particle swarm optimization (PSO). One of the challenges in MPC is how control parameters can be turned for various target plants and usage of PSO for automatic tuning is one of the solutions. The tuning problem of MPC is formulated as an optimization problem and PSO is applied as the optimization techniques. PSO is one of meta-heuristic methods which are known to search a global optimum at a relatively high ratio and with no use of a gradient. The numerical results for simple examples show the effectiveness of the proposed PSO-based automatic tuning method.
KW - Metaheuristics
KW - Model predictive control
KW - Parameter optimization
KW - Particle swarm optimization
UR - http://www.scopus.com/inward/record.url?scp=65349149000&partnerID=8YFLogxK
UR - http://www.scopus.com/inward/citedby.url?scp=65349149000&partnerID=8YFLogxK
U2 - 10.1541/ieejeiss.129.432
DO - 10.1541/ieejeiss.129.432
M3 - Article
AN - SCOPUS:65349149000
VL - 129
JO - IEEJ Transactions on Electronics, Information and Systems
JF - IEEJ Transactions on Electronics, Information and Systems
SN - 0385-4221
IS - 3
ER -