Özet:

The distorted logic is a method of artificial intelligence control that is used in controlling uncertainty of models, changing over time and non-linear systems. In the structures of the alternative current engines, the mathematical model is not fully identified and nonlinear system dynamics. Therefore, foolish logic controls are widely used in the control of these engines. In this study, speed control was carried out with the foolish logic of the permanent magnetic synchronic engine, one of the alternative current engines. All the stages of the intended foolish logic controllers, including entrance and exit membership functions, rule-based output mechanisms and steering processes, have been performed by software. The study compared the performance of the foolish logic controllers under different working conditions in which the Mamdani, Larsen and Tsukamoto extraction methods were used. When the results were evaluated, it was found that Larsen and Tsukamoto extract methods showed better performance.

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