A Loop Pairing Method for Multivariable Control Systems Under a Multi-Objective Optimization Approach

Huilcapi, Víctor; Blasco, X.; Herrero, J. M.; Reynoso-Meza, Gilberto

doi:10.1109/access.2019.2923654

Cited by 14 publications

(16 citation statements)

References 45 publications

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“…Dicho análisis global de prestaciones, suele ser denominado como una comparación de conceptos de diseño. Esta idea fue empleada conéxito en sistemas multivariables para el problema de emparejamiento de entradas y salidas (Huilcapi et al, 2019) y la comparación de diferentes estructuras de control (Reynoso-Meza et al, 2012).…”

Section: Introductionunclassified

Sintonización y comparación de conceptos de diseño aplicando la optimalidad de Pareto. Un caso de estudio del biorreactor de Cholette

Torralba-Morales

Reynoso-Meza

Carrillo-Ahumada

2020

Rev. iberoam. autom. inform. ind.

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<p>El control lineal PI(D) y sus variantes, son estructuras de control (conceptos de diseño) que actualmente se siguen utilizando en procesos industriales. La elección de una estructura de control sobre otra reside en el intercambio de prestaciones entre complejidad y rendimiento. Dado que este intercambio de prestaciones normalmente estará en conflicto, un análisis desde el punto de vista multiobjetivo puede ser de interés. Desde tal perspectiva, se analizan frentes de Pareto de diferentes conceptos de diseño, con lo que se realiza una comparación global y no puntual de tales conceptos. En este trabajo se plantea una propuesta metodológica para dicha comparación en diferentes etapas. La primera, fue establecer una región de estabilidad. En la segunda etapa se consideró la región de estabilidad como espacio de búsqueda para el proceso de optimización multiobjetivo calculando un conjunto y frente de Pareto. En la tercera etapa se realizó un análisis multicriterio de los frentes de Pareto, junto con la simulación en el dominio del tiempo para las señales de salida y de control. Como caso de estudio para validar la propuesta se ha elegido el biorreactor de Cholette que presenta diferentes condiciones de operación. La metodología propuesta permite una mejor comprensión de una solución conceptual, justifica y determina el uso de un concepto de diseño cumpliendo así con las necesidades del diseñador.</p>

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Section: Introductionunclassified

Sintonización y comparación de conceptos de diseño aplicando la optimalidad de Pareto. Un caso de estudio del biorreactor de Cholette

Torralba-Morales

Reynoso-Meza

Carrillo-Ahumada

2020

Rev. iberoam. autom. inform. ind.

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“…This paper aims to contribute to the generation of a framework that enables extending the multi-objective methodology proposed in [46] to design decentralized controllers (loop pairing and optimal tuning of controller parameters) in nonlinear multivariable systems. It is important to mention that according to [46] and [47] the selection of an optimal loop pairing depends on the designer's preferences regarding the design objectives of the multi-objective problem (MOP) and the satisfactory tuning of the system controllers. An interesting aspect of the proposed loop pairing methodology is that it is associated with both the selection of input-output pairings, as well as the tuning of each MIMO system controller in the multi-objective optimization (MOO) process.…”

Section: Introductionmentioning

confidence: 99%

“…To explore the input-output pairings of the coupled twotank process, the system was linearized at an operating point and the methodology presented in [46] was applied. The performance of each loop pairing and the optimal tuning of the system controllers were determined.…”

Section: Introductionmentioning

confidence: 99%

“…This shows that the results obtained on the linearized system (loop pairing) do not necessarily have to coincide with the non-linear system. Therefore, we propose to extend the methodology shown in [46] and directly apply it to non-linear multivariable systems. The results obtained for the non-linear system of coupled two-tanks were satisfactory.…”

Section: Introductionmentioning

confidence: 99%

“…Through the examples shown in this paper, the applicability of the extension of the methodology proposed in [46] for non-linear multivariable systems is demonstrated. The proper selection of an input-output pairing to perform the decentralized control of a non-linear MIMO system is strongly related to the following aspects: the designer's preferences over the design objectives of each MOP; the optimal tuning of control structures; as well as the operation zone where a non-linear multivariable system is analyzed.…”

Section: Introductionmentioning

confidence: 99%

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A Loop Pairing Method for Non-Linear Multivariable Control Systems Under a Multi-Objective Optimization Approach

et al. 2020

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In the multivariable control literature there are few techniques that face the problem of selecting suitable loop pairings in non-linear multivariable systems. Most techniques analyze the linearized system at a specific operating point. This paper proposes a new methodology to optimally and simultaneously select the loop pairings and the tuning of the parameters of the decentralized control by applying a multi-objective optimization approach directly on the non-linear system. The main contribution of this work is that the proposed methodology enables a detailed multi-dimensional analysis of the performances and trade-offs in the available loop pairings to control a multivariable non-linear system. The methodology is applied in this paper to three examples that analyze how the different types of loop pairings conflict. In one of the examples, the proposed methodology was applied first in the linearized system and later in the non-linear system. The results were contradictory and show how the application of loop pairing techniques for linear systems can be inaccurate when they are applied on a non-linear system previously linearized at an operating point. The following examples show that the operating point of a non-linear system, the design objectives of each multiobjective problem, as well as the designer's preferences have important roles in the selection of an optimal loop pairing. INDEX TERMS Multivariable control system, non-linear systems, loop pairing, decentralized control structures, multi-objective evolutionary optimization, Pareto front.

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Nonlinear Identification and Position Control of a Pneumatic System

Huilcapi

Cajo

Orellana

et al. 2023

Lecture Notes in Networks and Systems

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A Loop Pairing Method for Multivariable Control Systems Under a Multi-Objective Optimization Approach

Cited by 14 publications

References 45 publications

Sintonización y comparación de conceptos de diseño aplicando la optimalidad de Pareto. Un caso de estudio del biorreactor de Cholette

Sintonización y comparación de conceptos de diseño aplicando la optimalidad de Pareto. Un caso de estudio del biorreactor de Cholette

A Loop Pairing Method for Non-Linear Multivariable Control Systems Under a Multi-Objective Optimization Approach

Nonlinear Identification and Position Control of a Pneumatic System

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