Real time monitoring and intelligent control for novel advanced microwave biodiesel reactor

Wali, Wasan A.; Hassan, Kadhim H.; Cullen, Jeff; Shaw, Andy; Al-Shamma’a, Ahmed

doi:10.1016/j.measurement.2012.10.004

Cited by 18 publications

(6 citation statements)

References 22 publications

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“…Fuzzy and Neuro-Fuzzy in the task of monitoring and control of novel advanced microwave biodiesel reactors [15]. shows the block diagram of the fuzzy controller which was applied for temperature control inside the reactor.…”

Section: Wali Et Al Compared Intelligent Controllers Such Asmentioning

confidence: 99%

Survey on Neuro-Fuzzy systems and their applications in technical diagnostics and measurement

Viharos

Kis

2015

Measurement

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Both fuzzy logic, as the basis of many inference systems, and Neural Networks, as a powerful computational model for classification and estimation, have been used in many application fields since their birth. These two techniques are somewhat supplementary to each other in a way that what one is lacking of the other can provide. This led to the creation of Neuro-Fuzzy systems which utilize fuzzy logic to construct a complex model by extending the capabilities of Artificial Neural Networks. Generally speaking all type of systems that integrate these two techniques can be called Neuro-Fuzzy systems. Key feature of these systems is that they use inputoutput patterns to adjust the fuzzy sets and rules inside the model. The paper reviews the principles of a NeuroFuzzy system and the key methods presented in this field, furthermore provides survey on their applications for technical diagnostics and measurement.

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Section: Wali Et Al Compared Intelligent Controllers Such Asmentioning

confidence: 99%

Survey on Neuro-Fuzzy systems and their applications in technical diagnostics and measurement

Viharos

Kis

2015

Measurement

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“…Extensa información sobre los recursos de biodiesel, los aspectos técnicos de la producción y del análisis de la calidad del mismo a partir de aceite de cocina usado ha sido investigada (Zhang et al, 2016, Salvi and Panwar, 2012, Santori et al, 2012, Zhang et al, 2003. La literatura muestra un creciente interés en el control basado en modelos avanzados para la reacción de transesterificación (Ho et al, 2010, Ignat and Kiss, 2013, Mjalli et al, 2009, Wali et al, 2013, Wali et al, 2012. En (Benavides and Diwekar, 2012a), se trabajó sobre la optimización de la concentración de biodiesel bajo el control de la temperatura del reactor, aplicando el principio de máximo para el control óptimo.…”

Section: Introductionunclassified

Optimización dinámica basada en Fourier. Aplicación al proceso de biodiesel

Pantano

Fernández

Rodríguez

et al. 2020

Rev. iberoam. autom. inform. ind.

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<p class="icsmabstract">Este trabajo presenta una novedosa metodología para la optimización dinámica del proceso de producción de biodiesel a partir de aceites vegetales en modo discontinuo. La metodología propuesta tiene la particularidad de emplear la serie de Fourier para la parametrización de la acción de control, y algoritmos evolutivos para la optimización de parámetros. Las ventajas principales de esta estrategia son, por un lado, que los perfiles obtenidos son suaves, es decir, continuos y diferenciables, por lo tanto pueden implementarse directamente en sistemas reales, sin necesidad de filtrar o suavizar la señal de control; por otro lado, se requiere una mínima cantidad de parámetros para la optimización, evitando la sobre-parametrización, la cual puede disminuir la calidad de la respuesta. Los algoritmos propuestos han sido evaluados a través de simulaciones, obteniendo resultados muy satisfactorios comparados con los existentes en bibliografía.<em></em></p>

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“…Heretofore, the application of adaptive control has been extended from aviation and aerospace fields to industrial process, where also contains the microwave heating. Some relevant work for adaptive temperature control problem in microwave heating process is also reported, such as simple adaptive model-based controllers [7], adaptive neural fuzzy inference system [8], model reference adaptive control with expert control system [9], adaptive neural control [10], [11]. Thus, it is practicable to apply adaptive control in the microwave heating process.…”

Section: Introductionmentioning

confidence: 99%

Adaptive Multi-Point Temperature Control for Microwave Heating Process via Multi-Rate Sampling

Liang

Liu

Song

et al. 2019

SICE Journal of Control, Measurement, and System Integration

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Microwave heating has been gradually extended to industrial material process from domestic microwave ovens because of its substantial advantages such as high-efficiency, pollution free, and selective heating. Unfortunately, the drawback of the temperature non-uniformity, which may cause thermal runaway, becomes an obstruction for the development of microwave energy. Besides, a common problem associated with microwave heating systems is that the speed of microwave power transmission is faster than the temperature detection period. Thus, to ensure the global temperature uniformity and to enhance the system adaptivity for deviation of the temperature detecting position in the microwave heating system with input constraints, a multi-rate simple adaptive multi-point temperature control strategy based on almost strictly positive real conditions is proposed, where the use of multi-rate sampling and lifting technique is to solve the case that the system has less inputs than outputs. Finally, simulation results demonstrate the effectiveness of the proposed control strategy.

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Real time monitoring and intelligent control for novel advanced microwave biodiesel reactor

Cited by 18 publications

References 22 publications

Survey on Neuro-Fuzzy systems and their applications in technical diagnostics and measurement

Survey on Neuro-Fuzzy systems and their applications in technical diagnostics and measurement

Optimización dinámica basada en Fourier. Aplicación al proceso de biodiesel

Adaptive Multi-Point Temperature Control for Microwave Heating Process via Multi-Rate Sampling

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