Optimization of PID controller tuning parameters for multivariable system using Duelist algorithm

Biyanto, T.R. and Sehamat, N. and Sordi, N.A. and Zabiri, H. (2018) Optimization of PID controller tuning parameters for multivariable system using Duelist algorithm. In: UNSPECIFIED.

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Abstract

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. © Published under licence by IOP Publishing Ltd.

Item Type: Conference or Workshop Item (UNSPECIFIED)
Additional Information: cited By 2; Conference of 5th International Conference on Process Engineering and Advanced Materials, ICPEAM 2018 ; Conference Date: 13 August 2018 Through 14 August 2018; Conference Code:143521
Uncontrolled Keywords: Controllers; Decentralized control; Electric control equipment; MIMO systems; Optimization; Parameter estimation; Process engineering; Three term control systems; Two term control systems, Controller parameter; Decentralized controller; Integral absolute errors; Multi-input multi-output system; Objective functions; Pid controller tuning; Proportional integral derivative controllers; Stochastic optimization methods, Proportional control systems
Depositing User: Mr Ahmad Suhairi UTP
Date Deposited: 09 Nov 2023 16:36
Last Modified: 09 Nov 2023 16:36
URI: https://khub.utp.edu.my/scholars/id/eprint/9445

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