scholarly journals Technological Advances of Speed Control of Induction Motor with PI and Fuzzy Logic Controllers

2020 ◽  
Vol 8 (6S) ◽  
pp. 41-45
Keyword(s):  
Fuzzy Logic ◽  
Induction Motor ◽  
Fuzzy Logic Controller ◽  
Induction Motors ◽  
Control Technique ◽  
Fuzzy Logic Controllers ◽  
Technological Advances ◽  
Three Phase ◽  
Soft Computing Techniques ◽  
Recent Trends

At the present scenario, three-phase induction motors (IM) are having wide applications in the industries. So, the need for an effective controlling technique is compulsory. Various techniques are there to control the speed of IM. Soft computing techniques are having in a great improvement in the recent trends. This paper discusses on the scalar control technique of induction motor for conventional PI and fuzzy logic controller. The performance of an induction motor is simulated using MATLAB/Simulink with PI and fuzzy controllers, the results are analyzed and the techno feasibility of both the controllers is presented in detail. Torque-speed (T-N) characteristics of an induction motor for a traditional PI model are considered and compared with rules-based fuzzy logic

Hybrid Anti-Windup Fuzzy PI Controller Based Direct Torque Control of Three Phase Induction Motor

2014 ◽  
Vol 573 ◽  
pp. 155-160
Author(s):  
A. Pandian ◽  
R. Dhanasekaran
Keyword(s):  
Fuzzy Logic ◽  
Induction Motor ◽  
Fuzzy Logic Controller ◽  
Control Method ◽  
Fuzzy Controller ◽  
Direct Torque Control ◽  
Operating Conditions ◽  
Torque Control ◽  
Constant Speed ◽  
Three Phase

This paper presents improved Fuzzy Logic Controller (FLC) of the Direct Torque Control (DTC) of Three-Phase Induction Motor (IM) for high performance and torque control industrial drive applications. The performance of the IM using PI Controllers and general fuzzy controllers are meager level under load disturbances and transient conditions. The FLC is extended to have a less computational burden which makes it suitable for real time implementation particularly at constant speed and torque disturbance operating conditions. Hybrid control has advantage of integrating a superiority of two or more control techniques for better control performances. A fuzzy controller offers better speed responses for startup and large speed errors. If the nature of the load torque is varied, the steady state speed error of DTC based IM drive with fuzzy logic controller becomes significant. To improve the performance of the system, a new control method, Hybrid fuzzy PI control is proposed. The effectiveness of proposed method is verified by simulation based on MATLAB. The proposed Hybrid fuzzy controller has adaptive control over load toque variation and can maintain constant speed.

scholarly journals Direct Torque Control System for a Three Phase Induction Motor With Fuzzy Logic Based Speed Controller

2010 ◽  
Vol 6 (2) ◽  
pp. 131-138
Author(s):  
Turki Abdalla ◽  
Haroution Hairik ◽  
Adel Dakhil
Keyword(s):  
Fuzzy Logic ◽  
Induction Motor ◽  
Fuzzy Logic Controller ◽  
Dynamic Performance ◽  
Direct Torque Control ◽  
Speed Control ◽  
Pi Controller ◽  
Torque Control ◽  
Speed Controller ◽  
Three Phase

This paper presents a method for improving the speed profile of a three phase induction motor in direct torque control (DTC) drive system using a proposed fuzzy logic based speed controller. A complete simulation of the conventional DTC and closed-loop for speed control of three phase induction motor was tested using well known Matlab/Simulink software package. The speed control of the induction motor is done by using the conventional proportional integral (PI) controller and the proposed fuzzy logic based controller. The proposed fuzzy logic controller has a nature of (PI) to determine the torque reference for the motor. The dynamic response has been clearly tested for both conventional and the proposed fuzzy logic based speed controllers. The simulation results showed a better dynamic performance of the induction motor when using the proposed fuzzy logic based speed controller compared with the conventional type with a fixed (PI) controller.

scholarly journals Scalar Control of Induction motor using Fuzzy logic

2021 ◽  
Vol 9 (VI) ◽  
pp. 2331-2338
Author(s):  
Kesa Abhilash
Keyword(s):  
Fuzzy Logic ◽  
Induction Motor ◽  
Fuzzy Logic Controller ◽  
Induction Machine ◽  
Pi Controller ◽  
Operating Conditions ◽  
Control Technique ◽  
Scalar Control ◽  
Effective Manner

The main objective of the paper is to control the speed of an induction machine with scalar control technique using Fuzzy logic controller. Here the PI controller is replaced with Fuzzy Logic controller. By using Fuzzy Logic controller there are wider range of operating conditions can be covered and easier to adapt. For Fuzzy Logic controller some rules are written which play major role to control the speed of induction motor in an effective manner. The errors are evaluated according to rules defined.

scholarly journals ANFIS controller for vector control of three phase induction motor

2020 ◽  
Vol 19 (3) ◽  
pp. 1177
Author(s):  
Girisha Joshi ◽  
Pinto Pius A J
Keyword(s):  
Neural Network ◽  
Artificial Neural Network ◽  
Fuzzy Logic ◽  
Vector Control ◽  
Induction Motor ◽  
Control Technique ◽  
Fuzzy Logic Controllers ◽  
Inference System ◽  
Artificial Neural ◽  
Logic Controllers

For variable speed drive applications such as electric vehicles, 3 phase induction motor is used and is controlled by fuzzy logic controllers. For the steady functioning of the vehicle drive, it is essential to generate required torque and speed during starting, coasting, free running, braking and reverse operating regions. The drive performance under these transient conditions are studied and presented. In the present paper, vector control technique is implemented using three fuzzy logic controllers. Separate Fuzzy logic controllers are used to control the direct axis current, quadrature axis current and speed of the motor. In this paper performance of the indirect vector controller containing artificial neural network based fuzzy logic (ANFIS) based control system is studied and compared with regular fuzzy logic system, which is developed without using artificial neural network. Data required to model the artificial neural network based fuzzy inference system is obtained from the PI controlled induction motor system. Results obtained in MATLAB-SIMULINK simulation shows that the ANFIS controller is superior compared to controller which is implemented only using fuzzy logic, under all dynamic conditions.

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