Diseño e implementación de controladores difusos basados en los métodos de inferencia de mamdani y takagi-sugeno en el PLC modicon m580 para control de velocidad de un motor trifásico de inducción : diseño, programación e implementación de controladores en PLCS para control de sistemas.

Abstract

Conventional model-based control methods have been extensively studied and have presented excellent results by using mathematical approximations based on physical principles that represent the behavior of the system under certain conditions. These systems, when implemented, can be subjected to disturbances, produced by some external force or the environment, affecting the behavior of the plant and differing from the model obtained, which could degrade the controller. Advances in the study of fuzzy logic allow the development of controllers that do not require a detailed mathematical model of the system and can be applied to nonlinear processes or plants with a complex mathematical model. For the development of these controllers, the experience of the designer is required, transformed into a set of linguistic variables that are processed to obtain a resulting real numerical variable. Based on the above, in this work fuzzy controllers will be implemented in the M580 PLC, as an alternative for speed control of a three-phase induction motor. Through the FBD language, using the Unity Pro XL software, the fuzzy logic of the controller will be programmed taking into consideration two different inference methods, these are Mamdani and Takagi - Sugeno. The closed loop system is made up of the PLC, a speed sensor, a signal conditioning stage and a frequency inverter connected to the motor. In the same way, an operator interface has been programmed that allows observing the behavior of the plant online, as well as reference changes and disturbances.