rotary kiln intelligent control

  • An Intelligent Control System for Coke Calcination in

    An Intelligent Control System for Coke Calcination in Rotary Kiln Abstract: Petroleum coke is usually calcined in rotary kiln. It is a very prevalent problem of unstable production conditions and low recovery rates in coke calcination process.

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  • Intelligent control of a rotary kiln fired with producer gas

    Recently, as awareness of intelligent systems has grown, industrial problems and implementations have fortunately received increasing attention. In this paper, an intelligent supervisory-level system implemented at one of the major Finnish pulp mills to control a lime kiln fired with producer gas generated from biomass is presented.

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  • Intelligent Control Of The Lime Kiln Process With Respect To

    2020-04-07· Intelligent Control Of The Lime Kiln Process With Respect To. Jrvensivu M Intelligent control of the lime kiln process with respect to environmental requirements Helsinki University of TechnologyLaboratory of Process Control and Automation Report No 8 Espoo 2003 ISBN 9512263068 ISSN 14554046 Keywords Lime kiln TRS emissions production capacity energy efficiency lime quality

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  • A Neuro-Fuzzy Controller for Rotary Cement Kilns

    2017-09-18· A Neuro-Fuzzy Co ntroller for Rotary Cement Kilns Maryam Fallahpour *,**.Alireza Fatehi ** Babak N. Araabi *, Morteza Azizi *** * Control & Intelligent Processing Center of Excellence, School of Electrical & Computer Eng. University of Tehran, Tehran, Iran, (e-mail: [email protected]) ** Advanced Process Automation & Control (APAC) Re search Group, Electrical Engineering Faculty,

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  • Accretion Control in Sponge Iron Production Kiln using Fuzzy

    have been implemented by [Fallahpour et al, (2008)] in parameter control in a Cement manufacturing kiln. Other advanced control strategies including fuzzy control [Holmblad and Østergaard (1995)], intelligent control [Jarvensivu et al, (2001)] and predictive control have been introduced into process control and monitoring of rotary kilns.

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  • Temperature mapping of a rotary kiln using fuzzy logic

    2017-03-29· Efficient recognition of burning state for sintering process of rotary kiln is important to the design of image-based intelligent control systems. Current approaches such as consensus-based methods, temperature-based methods and temperature measurement using pyrometers etc, could not achieve satisfactory performance.

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  • Conventional and AI Models for Operational Guidance and

    2018-12-14· Abstract. Prediction models for temperature, pressure, and quality control in rotary sponge iron kilns are developed from operational data. The conventional and AI-based methods which are used to develop the models include extreme learning machine (ELM), artificial neural net (ANN), and multiple linear regression (MLR).

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  • Intelligent Supervisory Control of an Industrial Rotary Kiln

    Juuso E., Järvensivu M., Ahava O. (2001) Intelligent Supervisory Control of an Industrial Rotary Kiln. In: Leiviskä K. (eds) Industrial Applications of Soft Computing. Studies in

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  • Intelligent Control of a Rotary Kiln EUNITE

    Intelligent Control of a Rotary Kiln: Submitted by K. Leiviska, 26.06.2001, IBA A Problem: The lime kiln process is inherently difficult to operate efficiently because of complex dynamics and multi-variable process with non-linear reaction kinetics, and long time delays.

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  • Reinforcement Learning-Based Supervisory Control Strategy for a

    2018-09-25· Reinforcement Learning-Based Supervisory Control Strategy for a Rotary Kiln Process 313 controlled into certain ranges governed by technical requirement so that the quality index control is realized indirectly. In the sintering process, the normal range of sintering temperature Tsinter of raw material depends upon components of raw material slurry .

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  • Intelligent Control of a Rotary Kiln EUNITE

    Intelligent Control of a Rotary Kiln: Submitted by K. Leiviska, 26.06.2001, IBA A Problem: The lime kiln process is inherently difficult to operate efficiently because of complex dynamics and multi-variable process with non-linear reaction kinetics, and long time delays.

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  • Intelligent fuzzy immune PID controller design for

    Abstract: Based on biological immune principle and fuzzy theory, this paper presents an intelligent fuzzy immune PID control scheme to solve the control difficulties of industry process with multi-variables. The least square algorithm was used for offline optimization to form immune feedback control system. The application on cement rotary kiln control was discussed in detail as an example.

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  • Cementing the future of rotary kilns through simulation

    Figure. 1 A typical rotary kiln used in the cement Industry [courtesy KFS] These systems are quite versatile and are not just used for the cement industry. They are used for processing raw materials and feedstocks via thermal processing or calcination in the lime, cement, metallurgical, pulp and paper industries, and are also used as incinerators for treating hazardous wastes.

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  • Survey on rotary kiln process control Proceedings of

    An Intelligent Control System for Coke Calcination in Rotary Kiln{C}. Control and Automation, 2007. ICCA 2007. IEEE International Conference on May 30 2007-June 1 2007: 2365-2369. Google Scholar; WANG Yaonan. A Hybrid Intelligent Control for Industrial Rotary Kiln Plant {J}. Control Theory and Application. 1996, 13(6): 770-777. Google Scholar

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  • Pattern-based Hybrid Intelligent Control for Rotary

    Pattern-based hybrid intelligent control strategy was presented by Zhou and Chai [26] in 2007. The model is inaccurate even after the development of kiln process control.

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  • Rotary Kiln Intelligent Control Based on T-S Fuzzy Neural

    Based on the idea of the knowledge reduction of the rough sets (RS) theory and the nonlinearity mapping of Takagi-Sugeno fuzzy neural network (FNN), a kind of RS-FNN intelligent control method is presented and applied in the rotary kiln sintering process due to its nonlinearities in the dynamics and the large dimensionality of the problem.

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  • Internet and Fuzzy Based Control System for Rotary Kiln

    This paper develops an Internet-based fuzzy control system for an industrial process plant to ensure the remote and fuzzy control in cement factories in Algeria. The remote process consists of control, diagnosing alarms occurs, maintaining and synchronizing different regulation loops. Fuzzy control of the kiln ensures that the system be operational...

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  • Intelligent Control of Grate-kiln-cooler Process of Iron

    Request PDF Intelligent Control of Grate-kiln-cooler Process of Iron Ore Pellets Using a Combination of Expert System Approach and Takagi-Sugeno Fuzzy Model Grate-kiln-cooler has become a

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  • Intelligence Predictive Control Study on Lime Rotary

    For the non-linearity, large time lag characters of rotary kiln, we use intelligent predictive control method to control it. The prediction model, scrolling optimization and feedback adjustment are ultimate constituted the predictive control system each part. Gas flow measurement is used to realize rotary kiln`s temperature predictive control,and took NN-Model as prediction model to realize

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