Type-1 and Type-2 fuzzy logic speed controller based high performance direct torque and flux controlled induction motor drive

2013 ◽  
Author(s):  
Tejavathu Ramesh ◽  
A. K. Panda ◽  
S. Shiva Kumar
Keyword(s):  
Fuzzy Logic ◽  
Induction Motor ◽  
High Performance ◽  
Motor Drive ◽  
Induction Motor Drive ◽  
Speed Controller

Type-1 and Type-2 Fuzzy Logic and Sliding-Mode Based Speed Control of Direct Torque and Flux Control Induction Motor Drives – A Comparative Study

2013 ◽  
Vol 14 (5) ◽  
pp. 385-400 ◽  
Author(s):  
Tejavathu Ramesh ◽  
A. K. Panda ◽  
S. Shiva Kumar
Keyword(s):  
Fuzzy Logic ◽  
Induction Motor ◽  
High Performance ◽  
Sliding Mode ◽  
Speed Control ◽  
Control Technique ◽  
Flux Control ◽  
Speed Controller

Abstract In this research study, the performance of direct torque and flux control induction motor drive (IMD) is presented using five different speed control techniques. The performance of IMD mainly depends on the design of speed controller. The PI speed controller requires precise mathematical model, continuous and appropriate gain values. Therefore, adaptive control based speed controller is desirable to achieve high-performance drive. The sliding-mode speed controller (SMSC) is developed to achieve continuous control of motor speed and torque. Furthermore, the type-1 fuzzy logic speed controller (T1FLSC), type-1 fuzzy SMSC and a new type-2 fuzzy logic speed controller are designed to obtain high performance, dynamic tracking behaviour, speed accuracy and also robustness to parameter variations. The performance of each control technique has been tested for its robustness to parameter uncertainties and load disturbances. The detailed comparison of different control schemes are carried out in a MATALB/Simulink environment at different speed operating conditions, such as, forward and reversal motoring under no-load, load and sudden change in speed.

Takagi-Sugeno Fuzzy Perpose as Speed Controller in Indirect Field Oriented Control of Induction Motor Drive

2017 ◽  
Vol 8 (2) ◽  
pp. 513
Author(s):  
Roslina Mat Ariff ◽  
Dirman Hanafi ◽  
Wahyu Mulyo Utomo ◽  
Nooradzianie Muhammad Zin ◽  
Sy Yi Sim ◽  
...  
Keyword(s):  
Induction Motor ◽  
Fuzzy Logic Control ◽  
High Performance ◽  
Motor Drive ◽  
Field Oriented Control ◽  
Induction Motor Drive ◽  
Speed Controller ◽  
Logic Control ◽  
Indirect Field Oriented Control ◽  
Takagi Sugeno

This paper deal with the problem in speed controller for Indirect Field Oriented Control of Induction Motor.  The problem cause decrease performance of Induction Motor where it widely used in high-performance applications. In order decrease the fault of speed induction motor, Takagi-Sugeno type Fuzzy logic control is used as the speed controller. For this, a model of indirect field oriented control of induction motor is built and simulating using MATLAB simulink. Secondly, error of speed and derivative error as the input and change of torque command as the output for speed control is applied in simulation. Lastly, from the simulation result overshoot is zero persent, rise time is 0.4s and settling time is 0.4s. The important data is steady state error is 0.01 percent show that the speed can follow reference speed. From that simulation result illustrate the effectiveness of the proposed approach.

Direct Field-Oriented Control Using Fuzzy Logic Type -2 for Induction Motor with Broken Rotor Bars

2017 ◽  
Vol 4 (1) ◽  
pp. 29
Author(s):  
Saad Belhamdi ◽  
Amar Goléa
Keyword(s):  
Fuzzy Logic ◽  
Induction Motor ◽  
Motor Drive ◽  
Induction Motor Drive ◽  
Artificial Intelligent ◽  
Broken Rotor Bars ◽  
Volume Weight ◽  
Drive Control ◽  
Efficiency And Reliability

In the paper an analysis of the Direct Field Control Fuzzy logic type-2 of induction motor drive with broken rotor bars is presented. The simplicity of traditional regulators makes them popular and the most used solution in the nowadays industry. However, they suffer from some limitations and cannot deal with nonlinear dynamics and system parameters variation. In the literature, several strategies of adaptation are developed to alleviate these limitations. Artificial intelligent has found high application in most nonlinear systems same as motors drive. Because it has intelligence like human but there are no sentimental against human like angriness and.... Artificial intelligent is used for various points like approximation, control, and monitoring. Because artificial intelligent techniques can use as controller for any system without requirement to system mathematical model, it has been used in electrical drive control. With this manner, efficiency and reliability of drives increase and volume, weight and cost of them decrease.

An improved simplified rules Fuzzy Logic Speed Controller method applied for induction motor drive

2020 ◽  
Vol 105 ◽  
pp. 230-239
Author(s):  
M.H.N. Talib ◽  
Z. Ibrahim ◽  
N. Abd. Rahim ◽  
R. Zulhani ◽  
N. Nordin ◽  
...  
Keyword(s):  
Fuzzy Logic ◽  
Induction Motor ◽  
Motor Drive ◽  
Induction Motor Drive ◽  
Speed Controller
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