Control and optimization of a cement rotary kiln: A model predictive control approach

Zanoli, Silvia Maria; Pepe, Crescenzo; Rocchi, M.

doi:10.1109/indiancc.2016.7441114

Cited by 14 publications

(8 citation statements)

References 5 publications

Supporting

Mentioning

Contrasting

Unclassified

Order By: Relevance

“…Usually, the MVs are the temperature setpoints related to the level 1 controllers (see Section 2.1.2). MVs are usually characterized by hard constraints on the magnitude and on the allowed variation in the defined sampling time [51,52]. Furthermore, as will be described in Section 2.3, a target can be imposed.…”

Section: Apc Variables and Objectivesmentioning

confidence: 99%

“…The control of ∆T f ,j,P f ,j,d can be performed in two different ways: through a tailored billet temperature difference model or through different management of MVs that separately act on the head and of the tail of the billets (e.g., equalization described in Section 2.1.1). The just described CV types can be characterized by targets and/or soft constraints [51,52]. Other main CVs are represented by the smoke exchanger temperature (see Section 2.1.3) that is upper constrained and by additional variables, e.g., gas valves.…”

Section: Apc Variables and Objectivesmentioning

confidence: 99%

See 1 more Smart Citation

Multi-Mode Model Predictive Control Approach for Steel Billets Reheating Furnaces

Zanoli

Pepe

Orlietti³

2023

Sensors

View full text Add to dashboard Cite

In this paper, a unified level 2 Advanced Process Control system for steel billets reheating furnaces is proposed. The system is capable of managing all process conditions that can occur in different types of furnaces, e.g., walking beam and pusher type. A multi-mode Model Predictive Control approach is proposed together with a virtual sensor and a control mode selector. The virtual sensor provides billet tracking, together with updated process and billet information; the control mode selector module defines online the best control mode to be applied. The control mode selector uses a tailored activation matrix and, in each control mode, a different subset of controlled variables and specifications are considered. All furnace conditions (production, planned/unplanned shutdowns/downtimes, and restarts) are managed and optimized. The reliability of the proposed approach is proven by the different installations in various European steel industries. Significant energy efficiency and process control results were obtained after the commissioning of the designed system on the real plants, replacing operators’ manual conduction and/or previous level 2 systems control.

show abstract

Section: Apc Variables and Objectivesmentioning

confidence: 99%

Section: Apc Variables and Objectivesmentioning

confidence: 99%

Multi-Mode Model Predictive Control Approach for Steel Billets Reheating Furnaces

Zanoli

Pepe

Orlietti³

2023

Sensors

View full text Add to dashboard Cite

show abstract

“…Con el propósito de estabilizar un perfil de temperatura a lo largo de un horno cementero rotativo para reducir el consumo específico de combustible, en [40] se desarrolla un MPC. Los resultados finales de la implementación de este tipo de control fueron comparados con un controlador PID, demostrando reducciones de emisiones, disminuyendo, así, el impacto ambiental del proceso.…”

Section: Sistemas Expertos Y Su Aplicación En Hornos Cementerosunclassified

“…Para la aplicación de esta técnica de control se determinaron tipos de variables de control, manipuladas, variables controladas y las variables de perturbación para emplear la estrategia de MPC buscando mejorar la productividad, el consumo energético, la seguridad del proceso, el mejoramiento de la calidad de producto y reducir los impactos ambientales en el tema de emisiones del horno. Luego de las pruebas de laboratorio realizadas, implementaron el controlador en una planta real (Italian Cement Industry), sustituyendo muchos de los movimientos de control manuales que tenían que hacer los operadores del horno, logrando los objetivos esperados, donde se destacan la disminución del promedio de la concentración de oxígeno en un 4 %, la deducción de la concentración de NOx en un 11 %, aproximadamente, y una reducción del consumo específico de 1.1 % [40].…”

Section: Sistemas Expertos Y Su Aplicación En Hornos Cementerosunclassified

Horno cementero rotatorio: una revisión al control mediante sistemas expertos

Tirado

Alarcón

Valencia

2022

TecnoL.

View full text Add to dashboard Cite

Este artículo presenta una revisión de investigaciones realizadas mediante diferentes estrategias de control aplicadas en hornos cementeros rotatorios, sistema donde se da la fabricación de clínker, material indispensable para la elaboración del cemento. Esta exploración menciona estudios que se han desarrollado desde los años ochenta hasta el presente, destacando en cada una la metodología de control utilizada, los beneficios obtenidos en el proceso y sus futuras aplicaciones, esto con el fin de brindar al lector una visión global del uso de técnicas de control para hornos cementeros rotatorios y de cómo los avances científicos, con el paso de los años, han contribuido a esta industria en la eficiencia y mejora de sus procesos productivos; por tanto, se mencionan aportes y métodos de control como sistemas expertos (SE), control predictivo basado en modelo (MPC), redes neuronales artificiales y lógica difusa. Al finalizar la mencionada revisión se infiere que tecnologías de inteligencia artificial y de la industria 4.0 que se tienen actualmente como la computación en la nube, el procesamiento de grandes volúmenes de datos, el uso de los gemelos digitales, la ejecución de algoritmos de aprendizaje automático (machine learning) y sus herramientas de predicción, junto con la aplicación de SE y demás técnicas de control mencionadas, permitirían realizar un control avanzado, que pueda responder de forma satisfactoria a las necesidades de producción actuales y ofrecer múltiples beneficios como el tiempo de respuesta del control, la estabilidad, y mejoras en producción y calidad del material en un horno rotatorio.

show abstract

“…The following periodicals [7,8,9,10] cover the range of various methods and approaches for complex technological object automation. The usage of classical mathematical techniques has been reviewed in several papers [11,12,13,14,15,16].…”

Section: Introductionmentioning

confidence: 99%

Development of control system for a complex technological object using fuzzy behavior charts

Bazhanov

Vashchenko

Rubanov

2020

Heliyon

View full text Add to dashboard Cite

The cement kiln, which is the basic control object of represented work, is the most power consumption unit of the cement production. The wet production method provides a better quality of output clinker in north placed countries because of raw sources, which are already wet, and characteristics of Portland cement. However, there is one big problem standing against efficiency and concurrence with dry or semi-dry methods, there are no modeling algorithms and automated control systems for such an object. So overall control is available only with operator handle support and some local control loops. There is proposed an original approach to dynamic processes modeling based on second rank fuzzy behavior charts, which is a basis of control system development for complex technological objects. The authors describe the application of control system development method based on fuzzy behavior charts during an advising control system construction for a wet method rotating cement kiln. During pilot tests of the developed automated system was revealed a positive effect from the advising system implementation expressed in the increasing output of finished product with equal quality. The obtained data basis supports the conclusion that the application of the proposed method of developing control systems based on fuzzy behavior charts also possible for other complex technological objects.

show abstract

Control and optimization of a cement rotary kiln: A model predictive control approach

Cited by 14 publications

References 5 publications

Multi-Mode Model Predictive Control Approach for Steel Billets Reheating Furnaces

Multi-Mode Model Predictive Control Approach for Steel Billets Reheating Furnaces

Horno cementero rotatorio: una revisión al control mediante sistemas expertos

Development of control system for a complex technological object using fuzzy behavior charts

Contact Info

Product

Resources

About