An Intelligent Multi-multivariable Dynamic Matrix Control Scheme for a 160 MW Drum-type Boiler-Turbine System

Mazinan, A. H.

doi:10.5370/jeet.2012.7.2.240

Cited by 4 publications

(3 citation statements)

References 13 publications

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“…To illustrate the application of the presented algorithm and to verify its effectiveness, the comparison of the results obtained in the modeling of a Thermoelectric Plant widely worked in the specialized literature [7], [8], [9], [10], [11], using both the traditional algorithm based on operating points and the algorithm developed in the research carried out will be presented as a case study.…”

Section: Algorithm and Application Studymentioning

confidence: 99%

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Algorithm for Diffuse TSK Modeling of SNL MIMO with Undefined Operation Points

Gonzalez

2023

ATH

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This paper presents an algorithm for constructing fuzzy models in linear state subspaces from the nonlinear MIMO dynamic model of plants whose operating points are not defined within the permissible physical range for the system. It is based on the fuzzy Takagi-Sugeno-Kang model and Kawamoto's ideas of non-linearity sectors. The relevant functions in the antecedent are modeled with linear functions, while functions model the consequent in Discrete State Space. The application of the algorithm to the model of a thermoelectric plant widely studied in the specialized literature is discussed.

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Section: Algorithm and Application Studymentioning

confidence: 99%

“…3) By analyzing the maximum and minimum physical values of the premise variables x1 and U2 and considering that the condition is met (11), the pseudo-points of operation presented in 0,0780 0,2427 0,2388 0,7358 u20 0,3287 0,9208 0,3287 0,9208 u30 0,0730 0,3502 0,2008 0,9630…”

Section: Tsk Discrete Model For Undefined Points Of Operationmentioning

confidence: 99%

Algorithm for Diffuse TSK Modeling of SNL MIMO with Undefined Operation Points

Gonzalez

2023

ATH

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“…Dynamic matrix control (DMC) scheme was used for a drum boiler turbine. An intelligence based decision mechanism (IBDM) was implemented which supported both model approach and control scheme [8]. R. Hanuma Naik et al, [9] developed decentralized controller for multivariable process based on RGA and Neiderlinski index analysis.…”

Section: Introductionmentioning

confidence: 99%

Multiloop and Prediction Based Controller Design for Sugarcane Crushing Mill Process

Sunori

Juneja²,

Jain³

2015

IJAAS

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In the present work a sugarcane crushing mill is presented as a MIMO system with high multivariable interaction.A linear model of the plant is taken with flap position and turbine speed as manipulated variables and mill torque and buffer chute height as controlled variables.The multiloop PI controller has been designed for this plant by first investigating the RGA and the value of Niederlinski index of this plant.The decoupling of this system is done and the respective open loop and closed loop step responses are observed and compared with those of the composite MIMO system. Also the performance of multiloop controller is compared with controller designed using model predictive control system strategy for this plant.

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Multiloop and prediction based controller design for sugarcane crushing mill process

Sunori¹,

Bisht²,

Jethi³

et al. 2015

2015 International Conference on Soft Computing Techniques and Implementations (ICSCTI)

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In the present work a sugarcane crushing mill is presented as a MIMO system with high multivariable interaction.A linear model of the plant is taken with flap position and turbine speed as manipulated variables and mill torque and buffer chute height as controlled variables. The multiloop PI controller has been designed for this plant by first investigating the RGA and the value of Niederlinski index of this plant.The decoupling of this system is done and the respective open loop and closed loop step responses are observed and compared with those of the composite MIMO system. Also the performance of multiloop controller is compared with controller designed using model predictive control system strategy for this plant.

show abstract

An Intelligent Multi-multivariable Dynamic Matrix Control Scheme for a 160 MW Drum-type Boiler-Turbine System

Cited by 4 publications

References 13 publications

Algorithm for Diffuse TSK Modeling of SNL MIMO with Undefined Operation Points

Algorithm for Diffuse TSK Modeling of SNL MIMO with Undefined Operation Points

Multiloop and Prediction Based Controller Design for Sugarcane Crushing Mill Process

Multiloop and prediction based controller design for sugarcane crushing mill process

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