Open AccessFuzzy Control of a Servomechanism: Practical Approach using Mamdani and Takagi- Sugeno Controllers
Author(s) -
Renato Aparecido Aguiar,
Izabella Sirqueira
Publication year - 2021
Publication title -
international journal of fuzzy logic systems
Language(s) - English
Resource type - Journals
ISSN - 1839-6283
DOI - 10.5121/ijfls.2021.11402
Subject(s) - servomechanism , control theory (sociology) , computer science , fuzzy control system , relation (database) , controller (irrigation) , fuzzy logic , control engineering , position (finance) , fuzzy inference , control (management) , adaptive neuro fuzzy inference system , artificial intelligence , engineering , data mining , agronomy , finance , biology , economics
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.