Fuzzy Control of a Servomechanism: Practical Approach using Mamdani
and Takagi- Sugeno Controllers


Authors

Renato Aguiar and Izabella Sirqueira, Centro Universitario FEI, Brazil

Abstract

The main objective of this work is to propose two fuzzy controllers: one based on the Mamdani inference method and another controller based on the Takagi- Sugeno inference method, both will be designed for application in a position control system of a servomechanism. Some comparations between the methods mentioned above will be made with regard to the performance of the system in order to identify the advantages of the Takagi- Sugeno method in relation to the Mamdani method in the presence of disturbances and nonlinearities of the system. Some results of simulation and practical application are presented and results obtained showed that controllers based on Takagi- Sugeno method is more efficient than controllers based on Mamdani method for this specific application.

Keywords

Fuzzy Logic, Fuzzy Controller, Mamdani Inference Method, Takagi- Sugeno Inference Method.