Fuzzy Control in Process Industry: The Linguistic Equation Approach

Juuso, Esko

doi:10.1007/978-94-011-4405-6_10

Cited by 45 publications

(30 citation statements)

References 18 publications

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“…Above-described features, i.e. adaptation based on the WP and predictive braking action, are fully integrated in the basic LE controller, which ensure smooth operation of the LE controller over a large operational area (Juuso, Balsa, & Valenzuela 1998;Juuso, 1999).…”

Section: Stabilizing Controllers and Constraints Handlingmentioning

confidence: 99%

Intelligent control system of an industrial lime kiln process

Järvensivu¹,

Saari²,

Jämsä‐Jounela³

2001

Control Engineering Practice

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In the face of strong competition, the pulp and paper industry is aiming at higher pro"tability through increased productivity and the reduction of costs. In addition, on the global scale the industry is facing increasing market demands for higher product quality, more specialty products and improved production #exibility and environmental protection. Consequently, extensive research is being conducted to improve existing processes. One alternative, which is gaining increasing attention within the industry, is the improved control of existing processes by means of intelligent systems. In this paper, an intelligent kiln control system is presented. In the system, neural network models are used in conjunction with advanced high-level controllers based on fuzzy logic principles and a novel linguistic equation approach. Finally, the testing results of the system are presented and discussed.

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Section: Stabilizing Controllers and Constraints Handlingmentioning

confidence: 99%

Intelligent control system of an industrial lime kiln process

Järvensivu¹,

Saari²,

Jämsä‐Jounela³

2001

Control Engineering Practice

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“…Seasonal and daily cyclic variations as well as atmospheric conditions, such as cloud cover, humidity, and air transparency, need to be taken into account to get a fast start-up and efficient operation in varying cloudy conditions. A solar collector field is a good test platform for control methodologies (Camacho et al, 1997;Juuso, 1999;Johansen and Storaa, 2002;Cirre et al, 2007;Limon et al, 2008;Roca et al, 2011;Ayala et al, 2011). The control strategies include basic feedforward and PID schemes, adaptive control, model-based predic-tive control, frequency domain and robust optimal control and fuzzy logic control.…”

Section: Introductionmentioning

confidence: 99%

“…Linguistic equations (LE) have been used in various industrial applications (Juuso, 1999(Juuso, , 2004. Modelling and control activities with the LE methodology started by the first controllers implemented in 1996 (Juuso et al, 1997) and the first dynamic models developed in 1999 (Juuso et al, 2000).…”

Section: Introductionmentioning

confidence: 99%

Proceedings of the 58th Conference on Simulation and Modelling (SIMS 58) Reykjavik, Iceland, September 25th – 27th, 2017

2017

Linköping Electronic Conference Proceedings

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Welcome to the 58th Conference on Simulation Modelling and Optimization in Reykjavik, Iceland. Reykjavik is the northernmost and one of the smallest capital cities in the world. Although small for a capital, it is the country's largest and most populated city and with the urban area population of around 200000, it is the home of the vast majority of Iceland's people. The city is pioneer in the use of geothermal energy to provide low-cost heating and electricity. Iceland's energy consumption per capita is among the highest in the world, and the proportion of this consumption provided by renewable energy sources exceeds most other countries. The electricity is produced almost entirely from renewable energy sources, hydroelectric (70%) and geothermal (30%) and simulation, modelling and optimization are the key elements to utilize the renewable energy more efficiently.The SIMS 58 will cover broad aspects of simulation, modelling and optimization and be a technical forum for participants to further their knowledge by being exposed to diverse topics, and exchange opinions and ideas both from industry and academia in a variety of topics related to simulation, modelling and optimization. The ambition is to bring the field of applied modelling and simulation techniques of energy systems to the general public as a contributing technology for efficient and sustainable energy systems. This year, the conference program contains two keynote speakers, 53 research papers and presentations organized into 14 sessions and an excursion to a geothermal park.The focus of the conference is on simulation, modelling and optimization in a variety of applied contexts including topics such as geothermal, hydro and bio energy, oil production, automotive industry and methodology and technologies for simulation, modelling and optimization.A key component of the SIMS conference is the opportunity to socialize and make new connections. The conference offers several possibilities such as a conference dinner at Bryggjan Brugghús (Bistro and Brewery), an excursion to the Reykjanes GEOPARK and last but not least some coffee and lunch breaks.SIMS stands for the Scandinavia Simulation Society with members from five Nordic countries, Denmark, Finland, Norway, Sweden and Iceland. The goal of SIMS is to develop further the science and practice of modelling and simulation in all application areas and to be a forum for information interchange between professionals and non-professionals in the Nordic countries.Thanks to all participants, authors, keynote speakers and presenters for their contribution to this conference. I also want to acknowledge the support I have received from the conference board, program committee and the SIMS board. The support from the National energy authority, Iceland is gratefully acknowledged.Welcome, I hope you will enjoy the conference and the interactions with your colleagues and other presenter here.Magnus Excursion:The conference excursion will be on Wednesday, September 27 th , at 10:00. Resource Park in the Reykjanes pen...

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“…Seasonal and daily cyclic variations as well as atmospheric conditions, such as cloud cover, humidity, and air transparency, need to be taken into account to get a fast start-up and efficient operation in varying cloudy conditions. A solar collector field is a good test platform for control methodologies (Camacho et al, 1997;Juuso, 1999;Johansen and Storaa, 2002;Cirre et al, 2007;Limon et al, 2008;Ayala et al, 2011). The control strategies include basic feedforward and PID schemes, adaptive control, model-based predic-tive control, frequency domain and robust optimal control and fuzzy logic control.…”

Section: Introductionmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

Smart Integration of Energy Production

Juuso

2017

Linköping Electronic Conference Proceedings

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Heat is primarily important in the world's total energy consumption and especially, peak loads and seasonal variations result in problems which are difficult to efficiently come up with electricity networks. Renewable energy sources bring important new possibilities, especially for the heat energy. This paper focuses on heat energy: compact parametric models are essential in the smart integration of production in the district heating and efficient collection of the solar thermal energy. Thermal masses of the buildings are used in the peak load cutting as energy storages. The physical parameters calculated from the building information facilitate the use of different types of buildings simultaneously in the calculations. Smart adaptive control solutions extend feasible operating periods in collecting solar thermal energy. A combination of multiple control actions is essential in keeping the system in control during strong fluctuations in cloudiness and energy demand. Heat storages increase the collecting power and extend the utilisation of the solar energy utilisation over daily and seasonal periods.

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Fuzzy Control in Process Industry: The Linguistic Equation Approach

Cited by 45 publications

References 18 publications

Intelligent control system of an industrial lime kiln process

Intelligent control system of an industrial lime kiln process

Proceedings of the 58th Conference on Simulation and Modelling (SIMS 58) Reykjavik, Iceland, September 25th – 27th, 2017

Smart Integration of Energy Production

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