To implement real-time decision making or control of a physical system, data acquired by an A/D Converter must be obtained from a fuzzy controller. The great advantages and possibilities offered by the LabVIEW software for these applications are also stressed. Fuzzy logic differs from traditional Boolean logic in that fuzzy logic allows for partial membership in a set. It is noted that fuzzy logic is a fast, solid, and robust control method for a system that is affected by constant instabilities, which in this case could be disturbances affecting a DC motor by applying opposing forces or weights within its axis rotation.įuzzy logic is a method of computing based on decision-making and is used for expert systems and process control.

The foregoing is accomplished by designing a control system to understand alternative control applications that can used, for example, in an industrial sector. 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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