A high-performance speed controller for induction motor drive with vector control

2002 ◽  
Author(s):  
M. Ta-Cao ◽  
M. Tarbouchi ◽  
H. Le-Huy
Keyword(s):  
Vector Control ◽  
Induction Motor ◽  
High Performance ◽  
Motor Drive ◽  
Induction Motor Drive ◽  
Speed Controller

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.

PI-BASED SPEED CONTROLLER FOR VECTOR CONTROL MODEL OF THE INDUCTION MOTOR DRIVE USING GA TUNED FUZZY ALGORITHM

2018 ◽  
Vol SV2018 (1) ◽  
pp. 19-28
Author(s):  
Thinh Cong Tran ◽  
Pavel Brandstetter ◽  
Hau Huu Vo ◽  
Cuong Dinh Tran ◽  
Sang Dang Ho
Keyword(s):  
Vector Control ◽  
Induction Motor ◽  
Control Model ◽  
Motor Drive ◽  
Induction Motor Drive ◽  
Fuzzy Algorithm ◽  
Speed Controller

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

2015 ◽  
Vol 5 (4) ◽  
pp. 149
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.

A High Performance of Induction Motor Drive System

2020 ◽  
Vol 13 (8) ◽  
pp. 1129-1134
Author(s):  
Cuifeng Shen ◽  
Hanhua Yang
Keyword(s):  
Induction Motor ◽  
High Performance ◽  
Fuzzy Controller ◽  
Drive System ◽  
Motor Drive ◽  
Deterministic System ◽  
Induction Motor Drive ◽  
Paper Making ◽  
Drive Control ◽  
Motor Drive System

Background: A multi-motor synchronous drive control system is widely used in many fields, such as electric vehicle drive, paper making, and printing. Methods: On the basis of the optimized structure of ADRC, a fuzzy first-order active disturbance rejection controller was developed. Double channels compensation of extended state observer was employed to estimate and compensate the total disturbances, and an approximate linearization and deterministic system was obtained. As the parameters of ADRC are adjusted online by a fuzzy controller, the performance of the controller is effectively improved. Results: Based on the SIMATIC S7-300 induction motor control experimental platform, the performances of anti-interference and tracking performance are tested. Conclusion: The actual experimental results indicated that compared with PID control, induction motor drive system controlled by fuzzy ADRC has higher dynamic and static status and following performances and stronger anti-interference abilities.

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