TY - JOUR
T1 - Optimization of PID controller tuning parameters for multivariable system using Duelist algorithm
AU - Biyanto, Totok Ruki
AU - Sehamat, Nurulsapika
AU - Sordi, Nurul Atiqah
AU - Zabiri, Haslinda
N1 - Publisher Copyright:
© Published under licence by IOP Publishing Ltd.
PY - 2018/12/24
Y1 - 2018/12/24
N2 - In this paper, one of the most current new stochastic optimization method is proposed to tune decentralized proportional-integral-derivative (PID) controller for a multi-input-multi-output (MIMO) system. PID controller is still the most used controller in industrial application due to its easy application in control system. However, it still having problem to be tuned correctly especially for MIMO system. The decentralized controllers in this paper will be tuned simultaneously using duelist algorithm (DA) method and optimal value of controller parameters is obtained from a minimum of integral absolute error (IAE) value. The optimization of the objective function is based on the evaluation of IAE when a step change in u1 and u2 is introduced to the system. Form the simulation result, the proposed method is observed to have a better performance than other popular tuning method.
AB - In this paper, one of the most current new stochastic optimization method is proposed to tune decentralized proportional-integral-derivative (PID) controller for a multi-input-multi-output (MIMO) system. PID controller is still the most used controller in industrial application due to its easy application in control system. However, it still having problem to be tuned correctly especially for MIMO system. The decentralized controllers in this paper will be tuned simultaneously using duelist algorithm (DA) method and optimal value of controller parameters is obtained from a minimum of integral absolute error (IAE) value. The optimization of the objective function is based on the evaluation of IAE when a step change in u1 and u2 is introduced to the system. Form the simulation result, the proposed method is observed to have a better performance than other popular tuning method.
UR - http://www.scopus.com/inward/record.url?scp=85059420471&partnerID=8YFLogxK
U2 - 10.1088/1757-899X/458/1/012053
DO - 10.1088/1757-899X/458/1/012053
M3 - Conference article
AN - SCOPUS:85059420471
SN - 1757-8981
VL - 458
JO - IOP Conference Series: Materials Science and Engineering
JF - IOP Conference Series: Materials Science and Engineering
IS - 1
M1 - 012053
T2 - 5th International Conference on Process Engineering and Advanced Materials, ICPEAM 2018
Y2 - 13 August 2018 through 14 August 2018
ER -