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

2021 ◽  
Vol 11 (04) ◽  
pp. 19-33
Author(s):  
Renato Aguiar ◽  
Izabella Sirqueira
Keyword(s):  
Control System ◽  
Fuzzy Control ◽  
Position Control ◽  
Practical Approach ◽  
Practical Application ◽  
Inference Method ◽  
Fuzzy Controllers ◽  
Takagi Sugeno ◽  
Position Control System

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.

ANALYSIS OF A CLASS OF FUZZY CONTROLLERS

1994 ◽  
Vol 02 (03) ◽  
pp. 257-264 ◽  
Author(s):  
JOHN TAK KUEN KOO
Keyword(s):  
Control System ◽  
Fuzzy Control ◽  
Control Theory ◽  
Nonlinear Control ◽  
Linear Function ◽  
Explicit Form ◽  
Membership Functions ◽  
Inference Method ◽  
Fuzzy Controllers ◽  
Nonlinear Control Theory

In this paper, a class of fuzzy controllers is considered. The controllers are constructed by applying product-max-COA(Center Of Area) inference method. The membership functions of the antecedence and the consequence are triangular and singelton in shape, respectively. The class of fuzzy controllers can be expressed by an explicit form, i.e. the sum of a linear function and some nonlinear terms. The explicit form of the class of controllers is generalized for multiple inputs. Therefore, by the use of the explicit form, the analysis of the fuzzy control system can be performed with the use of nonlinear control theory.

The Application of Fuzzy Control in Position Control for Tanker Drag

2013 ◽  
Vol 319 ◽  
pp. 553-557
Author(s):  
Jian Guo Yan ◽  
Ao Xi ◽  
Zi Bing Xiao ◽  
Hai Xia Xiong
Keyword(s):  
Control System ◽  
Fuzzy Control ◽  
Pid Control ◽  
Position Control ◽  
Fuzzy Controller ◽  
Dynamic Performance ◽  
Testing System ◽  
Control Effect ◽  
Response Curves ◽  
Position Control System

In order to obtain much better control effect, position control system uses position-speed dual closed loop structure in the testing system of hard air refuel tanker drag system. According to the characteristics of nonlinear system, PID controller and fuzzy controller were taken as the outer loop controllers. The simulation results show that the fuzzy control system is superior to PID control. By comparing response curves with different load, it is easy to see that fuzzy control can be more effective than PID control in restraining overshoot and improving the dynamic performance.

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