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A3-3 - Sedma Nacionalna Konferencija so Me|unarodno U~estvo...

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FUZZY LOGIC CONTROL APPLIED ON QUALITY CONTROL LAYER OF TUNNEL KILN BRICK PRODUCTION Mile Stankovski 1 , Goce Boshkovski 2 , Tatjana Kolemishevska-Gugulovska 1 , Georgi Dimirovski 1, 3 1 Institute of ASE at Faculty of EE,, St. Cyril and Methodius University, MK-1000, Skopje, Republic of Macedonia; E-mail: [email protected] 2 ULTRA, DOO, MK-1000, Skopje, Republic of Macedonia; E-mail: [email protected] 3 DOGUS University, Acibadem, Zeamet Sk. 21, Kadikoy, TR-34722, Istanbul – TURKEY E-mail: [email protected] Abstract – A case study of two-level and set point- oriented controls in complex industrial heating plants has been carried out. Task-oriented controls occur at command and supervision level in conjunction with human process operator, while set-point controls occur at regulation level of energy conversion and heating process. Fuzzy logic control is involved on the second control level on the basis of products quality control. The control system has been implemented in factory for clay-brick productions "KIK" in Kumanovo. A suitable and intelligent automation can save energy and therefore costs. * Keywords – Complex systems; thermal processes, two-level fuzzy logic supervisory control, set-point control, clay-bricks kiln production 1. INTRODUCTION Processes and plant constructions of thermal systems and industrial furnaces, kilns and ovens in particular, have been subject to both scientific and technological research for long time [5]. Due to the process complexity of energy conversion and transfer into thermal systems, however, their control and supervision have recently become topics of extensive research. These thermal processes have been summarized and operationally characterized as: operating regimes of low-load and start-up, medium- load and full-load as well as start-up and shut-down; multi-input-multi-output (MIMO) convex, control or steady-state (SS), input-output (I/O) characteristics at operating points; slow and non-linear overall dynamics, but locally linearizable; low-frequency bandwidth; time-delay and non-minimum phase phenomena; problematic sensor allocation * Part of this paper was presented on 16 th IFAC World Congress in Prague, July 2005 distribution in order to extract and provide on-line real-time all relevant information on operating the thermodynamics; main controlled (output) variables are temperatures and main controlling (manipulating) variables are energy and mass (fuel/gases) supply/release. The overall control task is to drive the process to the desired thermodynamic equilibria and to regulate the temperature profile through the plant. In industrial operating environment, technical control specifications involve goal and task description of aims and procedures of supervision functions and recommended set-ups of regulatory and other control functions along with certain terms of preconditions, constraints, interactions, limitations, etc. From the general systems theoretical standpoint, it is the thermal systems where it became apparent that controlled processes in the real-world plants
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