These adaptive techniques can be used to customize the membership functions so that the fuzzy system models the data with a significant improvement. Since it is a more compact and computationally efficient representation than a Mamdani system, the Sugeno system lends itself to the use of adaptive techniques for constructing fuzzy models. In fuzzy logic there are two well-known algorithms: logarithm Mamdani and Takagi Sugeno these are useful in applications such as microelectronics and power electronics. In the control field, specifically in the DC motor, control can be applied by intelligent control techniques such as fuzzy logic, which is further applied in parallel with conventional control techniques. One of these methods is fuzzy logic, which is necessary to realize improvements over classical logic and is basically a statement that can be understood as a logical value of 1 or 0. To carry out these development methods, a large database and understanding of control methods are necessary to describe the analysis system to facilitate decision-making. In the last decade, the use of various control techniques such as hybrid or artificial intelligence has grown exponentially in the fields of power electronics, control systems, and positioning systems.
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