Development of genetic algorithm-based fuzzy logic controller for conical tank process

Arivalahan, R.; Subbaraj, P.; Devaraj, D.

doi:10.1504/ijise.2013.052609

Cited by 4 publications

(7 citation statements)

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“…From (2.15) we can write the first term of the right hand side as 3 and ω(t) ∈ ℜ 3 previously defined. Thus, (2.15) can be rewritten as…”

Section: Design Of the Tpa-apbcmentioning

confidence: 99%

“…Conical tanks are nonlinear systems widely used in industrial applications for storage, with a shape that facilitates drainage. Several works on this subject have been reported in the technical literature [1][2][3][4][5][6][7][8][9][10] for level control of conical tanks. In [1][2][3][4] fuzzy techniques are used to adjust the PI settings depending on the level operating point.…”

Section: Introductionmentioning

confidence: 99%

“…Several works on this subject have been reported in the technical literature for level control of conical tanks. In fuzzy techniques are used to adjust the PI settings depending on the level operating point. In Artificial Neural Network (ANN) techniques are used to adjust the PI settings for different conical tank levels.…”

Section: Introductionmentioning

confidence: 99%

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Taylor polynomial Approximation and Adaptive Passivity‐Based Control Applied to the Level Regulation of a Conical Tank

Travieso-Torres

Duarte‐Mermoud

Beytía-Cancino

2017

Asian Journal of Control

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The techniques of Taylor polynomial approximation (TPA) and adaptive passivity‐based controller (APBC) are combined in this study and applied to the level regulation of a conical tank. The design and comparative experimental results with a classical PI controller are presented. After combining these two approaches a robust adaptive controller named TPA–APBC, which is simpler than the classical APBC and PI controller, is obtained. This new TPA–APBC preserves the stability of the overall system after assuming that the nonlinear system is unknown and that it can be suitably represented by a first‐order linear model with unknown parameters.

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“…From (2.15) we can write the first term of the right hand side as 3 and ω(t) ∈ ℜ 3 previously defined. Thus, (2.15) can be rewritten as…”

Section: Design Of the Tpa-apbcmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

See 1 more Smart Citation

Taylor polynomial Approximation and Adaptive Passivity‐Based Control Applied to the Level Regulation of a Conical Tank

Travieso-Torres

Duarte‐Mermoud

Beytía-Cancino

2017

Asian Journal of Control

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“…El comportamiento del nivel del producto contenido en los estanques cónicos está representado por un sistema no lineal, habiéndose reportado en la literatura técnica numerosos trabajos de investigación para regular el nivel en Gireesh y Artificiales (ANN, por sus siglas en Inglés) y Lógica Difusa (FL, por sus siglas en Inglés) para ajustar los parámetros de un controlador Proporcional Integral (PI), en dependencia de los puntos de operación del nivel. En Madhubala et al, 2004, Betancor-Martín et al, 2013, Arivalahan et al 2012, Ganesh Ram y Abraham Lincoln, 2013, se presentan controladores del tipo PI-FL y en Dhanalakshmi, R. y Vinodha, R., 2013 y Srivignesh et al, 2012 del tipo PI-ANN.…”

Section: Introductionunclassified

“…Estos PBC son más simples que las técnicas citadas anteriormente en las referencias Gireesh y Sreenivasulu, 2014, Madhubala et al, 2004, Betancor-Martín et al, 2013, Arivalahan et al 2012, Ganesh Ram y Abraham Lincoln, 2013, Dhanalakshmi, R. y Vinodha, R., 2013, Srivignesh et al, 2012, Teena y Hepsiba, 2014, Beena et al, 2015; sin embargo, se basan en la cancelación exacta de términos entre el sistema no lineal y el controlador, por lo que no es robusto ante variaciones de los parámetros de la planta. Los controladores diseñados en Chandrasekar y Ponnusamy, 2013, Chandrasekar y Ponnusamy, 2014, se basan en una síntesis de conceptos y condiciones descritas en Byrnes et al, 1991, bajo las cuales un sistema no lineal con punto de equilibrio en el origen se puede convertir en Cr-pasivo y finalmente estabilizarse de manera simple mediante una técnica no adaptable de PBC.…”

Section: Introductionunclassified

Control Basado en Pasividad para una Clase de Sistemas no Lineales y su Aplicación a la Regulación de Nivel de un Estanque Cónico

Travieso-Torres

Duarte‐Mermoud

Gutiérrez-Osorio

et al. 2018

Rev. iberoam. autom. inform. ind.

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ResumenEn este artículo científico se proponen dos estrategias de control basado en pasividad, una adaptable y la otra no adaptable para cierta clase de sistemas no lineales. A diferencia de la estrategia de control no adaptable, la adaptable no hace uso del conocimiento de los valores de los parámetros de la planta. Ambas estrategias son luego diseñadas y aplicadas para la regulación de nivel de un estanque cónico discutiéndose los resultados experimentalmente obtenidos luego de realizar un estudio comparativo experimental para verificar el comportamiento del sistema bajo control y evidenciar las ventajas y desventajas de los controladores. Los resultados muestran que el diseño del APBC es más simple que el diseño de los controladores PBC al no requerir el conocimiento de los parámetros de la planta controlada, también es más robusto frente a variaciones de un parámetro de la planta. Palabras Clave:Sistemas de control no-lineal, control adaptativo, pasividad. Passivity Based Control of a Class of Nonlinear Systems and its Application to the Level Regulation of a Conical Tank AbstractAn adaptive passivity-based controller (APBC) and a non-adaptive passivity-based controller (PBC) are proposed in this paper. In contrast to PBC, the APBC strategy does not make use of the knowledge of the values of the plant parameters. Both strategies are also designed and applied to the level regulation of a conical tank, discussing the experimental results obtained after performing an experimental comparative study to verify the behavior of the system under control and to demonstrate the advantages and disadvantages of the controllers. The results show that the design of the APBC is simpler than the design of PBC controllers by not requiring the knowledge of the plant parameters; it is also more robust in front of variations of a plant parameter.

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Application of response surface methodology and genetic algorithm for optimisation of electro-discharge diamond face grinding of tungsten carbide-cobalt composite

Yadav

Yadava

Singh

2014

IJISE

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Development of genetic algorithm-based fuzzy logic controller for conical tank process

Cited by 4 publications

References 0 publications

Taylor polynomial Approximation and Adaptive Passivity‐Based Control Applied to the Level Regulation of a Conical Tank

Taylor polynomial Approximation and Adaptive Passivity‐Based Control Applied to the Level Regulation of a Conical Tank

Control Basado en Pasividad para una Clase de Sistemas no Lineales y su Aplicación a la Regulación de Nivel de un Estanque Cónico

Application of response surface methodology and genetic algorithm for optimisation of electro-discharge diamond face grinding of tungsten carbide-cobalt composite

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