A distributed solar collector field temperature profile control and estimation using inlet oil temperature and radiation estimates based on Iterative Extended Kalman Filter

Karamali, Mohammad; Khodabandeh, Mahdi

doi:10.1016/j.renene.2016.08.049

Cited by 31 publications

(10 citation statements)

References 17 publications

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“…The controller response resulted in a large overshoot and settling time when facing disturbance. This was also the case for the PID controller with a series feed‐forward controller used in [9].…”

Section: Introductionmentioning

confidence: 86%

Proportional–integral‐like fuzzy controller of a small‐scale linear fresnel reflector solar plant

Meligy

Rady

Samahy

et al. 2020

IET Renewable Power Generation

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Section: Introductionmentioning

confidence: 86%

Proportional–integral‐like fuzzy controller of a small‐scale linear fresnel reflector solar plant

Meligy

Rady

Samahy

et al. 2020

IET Renewable Power Generation

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“…To this end, a lot of research efforts have been contributed to improving the performance of PTC with feedforward compensator. For examples, the PID controller is suggested to work with unscented Kalman filter or iterative extended Kalman (Gallego et al, 2012a; Karamali et al, 2017; Pourmahboob et al, 2004). In a similar way, adaptive control (Juuso and Yebra, 2014) and robust control (Cirre et al, 2010) have also been developed to control distributed solar collector field with external disturbances.…”

Section: Introductionmentioning

confidence: 99%

Optimal model predictive rejection control for nonlinear parabolic trough collector with lumped disturbances

Gao

Wei

2021

Transactions of the Institute of Measurement and Control

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It is challenging and crucial to achieve unbiased tracking control for parabolic trough collector field as it is vulnerable to various types of disturbances or uncertainties such as unmeasured external disturbances, parameter perturbation and model mismatch. To solve this issue, an optimal model predictive rejection control strategy is put forward in a composite designed manner, in which all disturbances/uncertainties are dealt with as lumped disturbances. A generalized extended state observer is firstly employed to estimate the lumped disturbances, and then a feedback controller is devised based on optimal model predictive control to compensate the influences of the lumped disturbances on output. Stability analysis of the closed-loop system has been presented. It shows that the proposed composite controller can track given references without offset in the presence of lumped disturbances while not sacrificing its nominal performance in the absence of disturbances. Simulations conducted on a numerical example and a practical application for parabolic trough collector validate our conclusions.

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“…Un MPC avanzado en el espacio de estado se presenta en Gallego et al (2013), donde se propone el uso de un observador robusto de Luenberguer y la resolución de un LMI para la estimación de los estados. Se propone un algoritmo basado en un Kalman Filter Extendido Iterativo (EKF) en (Karamali and Khodabandeh, 2017) para la estimación de las temperaturas de los colectores y de la entrada, suponiendo que no hay un sensor en la entrada. En este caso los autores utilizan un PID más un Feedforward para realizar el control de la planta.…”

Section: Introductionunclassified

Estimador Neuro-Borroso, con reducción de complejidad, de las temperaturas de un campo solar cilindro-parabólico

Escaño

Sánchez

Ceballos

et al. 2021

Rev. iberoam. autom. inform. ind.

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<p>La estimación de estados no observables de un proceso es importante cuando se aplican técnicas de control automático basadas en el espacio de estados. El diseño y uso de estos controladores conlleva suponer que los valores de los estados se podrán obtener de una u otra forma. Cuando todos los estados son medibles, no existe la necesidad de aplicar observadores. El caso de plantas solares cilindro-parabólicas usando modelos de parámetros distribuidos presenta el problema de no poder medir todos los valores de los estados con sensores. En este trabajo se presenta un observador basado en un sistema de inferencia borrosa para estimar los perfiles de temperatura de los lazos que componen el campo solar. Se aplica una técnica de reducción de complejidad basada en el análisis de componentes principales funcionales para que el estimador sea realizable en la práctica sin ocupar mucha memoria o consumir demasiado tiempo tanto en la computacion del algoritmo como en la programación en dispositivos industriales.</p>

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A distributed solar collector field temperature profile control and estimation using inlet oil temperature and radiation estimates based on Iterative Extended Kalman Filter

Cited by 31 publications

References 17 publications

Proportional–integral‐like fuzzy controller of a small‐scale linear fresnel reflector solar plant

Proportional–integral‐like fuzzy controller of a small‐scale linear fresnel reflector solar plant

Optimal model predictive rejection control for nonlinear parabolic trough collector with lumped disturbances

Estimador Neuro-Borroso, con reducción de complejidad, de las temperaturas de un campo solar cilindro-parabólico

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