Comparison of boiler plant model and real plant responses based on proportional Integral controller

Emhemed, Abdulrahman A.A.; Mamat, Rosbi; Hanafi, Dirman

doi:10.1109/student.2012.6408377

Cited by 4 publications

(3 citation statements)

References 7 publications

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“…Controller parameters are represented by binary numbers, so it needs some mechanisms to change binary numbers to real numbers representation, so it can be implemented to the system. Equation ( 19) is used to change binary number to real number representation [11].…”

Section: ) Individual Representationmentioning

confidence: 99%

Self-Tuning PID-Genetic Algorithm Controller for Steam Drum Boiler Water Level Control System

Hady

Yusuf²,

Fatoni

et al. 2021

JAREE

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A control system with uncertainty or unpredictable disturbance needs more effort to be controlled. A conventional PID Controller is the most popular method used in industries. It was tuned and adjusted by the designer, and it has fixed parameters during operation. However, the disturbance effect causes the desired system performance unreachable. By using a self-tuning controller, the problem should be tackled. In this paper, the PID-Genetic Algorithm (PID-GA) controller was proposed and tested with the steam drum water level control system of a steam power plant. Variation in power load causes noisy water level characteristics and should be maintained at + 0.4 meters from the setpoint to prevent the power plant trip. From the simulation, PID-GA can reduce disturbance of the minimum, nominal, and maximum load with perturbation peaks 0.18 m, 0.22 m, and 0.26 m respectively.Keywords: genetic algorithm, NWL, PID-GA, steam drum, steam power plant.

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Section: ) Individual Representationmentioning

confidence: 99%

Self-Tuning PID-Genetic Algorithm Controller for Steam Drum Boiler Water Level Control System

Hady

Yusuf²,

Fatoni

et al. 2021

JAREE

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“…Pada saat steady state, laju aliran masuk dan keluar steam drum adalah konstan yang menyebabkan level didalamnya konstan. Variabel deviasi level air dan laju aliran feedwater dapat dinyatakan seperti pada Persamaan (4) dan (5).…”

Section: A Pemodelan Steam Drumunclassified

Desain Kontroler PID-Genetic Algorithm untuk Sistem Pengaturan Level Air Steam Drum pada Pembangkit Listrik Tenaga Uap (PLTU)

Yusuf

Fatoni

Hady

2017

JTITS

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Abstrak-Perubahan laju aliran uap menimbulkan gangguan pada sistem pengaturan level air steam drum. Level air dijaga pada titik tengah ketinggian drum atau disebut Normally Water Level (NWL), agar uap yang dihasilkan memenuhi spesifikasi serta tidak merusak peralatan pada pembangkit. Pada umumnya, sistem pengaturan level menggunakan kontroler PID konvensional. Namun, adanya gangguan dapat menyebabkan performa sistem dengan kontroler PID konvensional tidak mampu memenuhi spesifikasi. Kontroler PID-Genetic Algorithm (PID-GA) diterapkan untuk mengatur level air steam drum agar berada pada titik NWL ketika terdapat gangguan. Sistem pengaturan menggunakan kontroler PID-GA mampu meredam gangguan berupa beban minimal, nominal, dan maksimal, yaitu dengan perturbation peak masingmasing sebesar 0,18 m; 0,22 m; dan 0,26 m.

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“…The process gain describes based on the steady state effect of the input change to the change of the output. The dead time can be directly read from the output response [13], [14].…”

Section: Model Identification Of the Ehamentioning

confidence: 99%

Modified Predictive Control for a Class of Electro-Hydraulic Actuator

Emhemed¹,

Mamat²,

Faudzi³

et al. 2016

IJECE

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Many model predictive control (MPC) algorithms have been proposed in the literature depending on the conditionality of the system matrix and the tuning control parameters. A modified predictive control method is proposed in this paper. The modified predictive method is based on the control matrix formulation combined with optimized move suppression coefficient. Poor dynamics and high nonlinearities are parts of the difficulties in the control of the Electro-Hydraulic Actuator (EHA) functions, which make the proposed matrix an attractive solution. The developed controller is designed based on simulation model of a position control EHA to reduce the overshoot of the system and to achieve better and smoother tracking. The performance of the designed controller achieved quick response and accurate behavior of the tracking compared to the previous study.

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Comparison of boiler plant model and real plant responses based on proportional Integral controller

Abstract: Abstract-System model is very useful to study the response of a system for different input variations and for the control design

Cited by 4 publications

References 7 publications

Self-Tuning PID-Genetic Algorithm Controller for Steam Drum Boiler Water Level Control System

Self-Tuning PID-Genetic Algorithm Controller for Steam Drum Boiler Water Level Control System

Desain Kontroler PID-Genetic Algorithm untuk Sistem Pengaturan Level Air Steam Drum pada Pembangkit Listrik Tenaga Uap (PLTU)

Modified Predictive Control for a Class of Electro-Hydraulic Actuator

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