Abstract
Controlling the temperature of a zinc roaster furnace is a difficult task, because of several affecting variables and overall demands to control the temperature exactly. The nature of affecting variables is typically unmeasurable, or unpredictable, which means that they cannot be used directly when controlling the temperature. The furnace and measuring devices tend to get dirty when in use, which increases delays in the process, which in turn places additional demands on the control system. After failing to solve the control problem with a normal PI controller, a knowledge-based fuzzy controller was developed to keep the temperature as close to the set-point as possible. The fuzzy controller was initially put into use in 1994, and has been in daily use since then.
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