This research work is basically on Cement Kiln Temperature based on Fuzzy Logic Controller action. It is aimed at controlling temperature in a cement kiln using Fuzzy Logic Controller (FLC) and to analyze the system control using Matlab. The Fuzzy Logic Controller which is in three-stage processes, such as; i. Fuzzification is the process input data received by the fuzzy controller are translated into fuzzy sets, it. ii. Defuzzification which reconverts the fuzzy sets back to a crisp data which the output devices can understand and iii. Inference system (the Google machine) where the gathering and analyses of data and drawing of conclusions take place, About 90-99% of industrial controllers are using Proportional integral and Derivative (PID) controller which produce substandard cement/clinker as a result of its non-linarites. (Over burning/under burning). For this, fuzzy logic controller was used in this work, via a method of heat transfer system, to replace the conventional classical PID controller to produce quality cement/clinker. Unlike the PID, which produced overshoot and undershoot in its controllability, the FLC has zero overshoot and undershoot, since accurate production parameters are available for control. This leads to easy control and also, the production time, cost of production will be drastically reduced compared to when PID controller is being used to run the system.
Fuzzy Logic; Fuzzification; Defuzzification; Inference System; Overshoot; Undershhot.
Joseph, E.A , Olabode, O.R "Development of Fuzzy Logic Controller Based Temperature Control for KILN Control." Iconic Research And Engineering Journals Volume 6 Issue 1 2022 Page 684-688
Joseph, E.A , Olabode, O.R "Development of Fuzzy Logic Controller Based Temperature Control for KILN Control." Iconic Research And Engineering Journals, 6(1)