A new microcomputer-based direct torque control system for three-phase induction motor

1991 ◽  
Vol 27 (2) ◽  
pp. 294-298 ◽  
Author(s):  
H.Y. Zhong ◽  
H.P. Messinger ◽  
M.H. Rashad
Keyword(s):  
Control System ◽  
Induction Motor ◽  
Direct Torque Control ◽  
Torque Control ◽  
Three Phase

scholarly journals Direct Torque Control for Dual Three-Phase Induction Motor Drives

2005 ◽  
Vol 41 (6) ◽  
pp. 1627-1636 ◽  
Author(s):  
R. Bojoi ◽  
F. Farina ◽  
G. Griva ◽  
F. Profumo ◽  
A. Tenconi
Keyword(s):  
Induction Motor ◽  
Direct Torque Control ◽  
Motor Drives ◽  
Torque Control ◽  
Induction Motor Drives ◽  
Three Phase

Fuzzy based fault detection for direct torque control of three phase induction motor drive

2019 ◽  
Author(s):  
R. Senthil Kumar ◽  
S. Jayanandhini ◽  
J. Jenisha ◽  
M. Jayalakshmi ◽  
S. Madhumitha
Keyword(s):  
Fault Detection ◽  
Induction Motor ◽  
Direct Torque Control ◽  
Torque Control ◽  
Motor Drive ◽  
Induction Motor Drive ◽  
Three Phase

Investigation of Motor-Generator Integration System for Electric Vehicle Based on Induction Motor and Fuzzy Control

2011 ◽  
Vol 328-330 ◽  
pp. 2172-2180 ◽  
Author(s):  
Zhi Long Xing ◽  
Yang Liu ◽  
Yun Feng Liu
Keyword(s):  
Control System ◽  
Fuzzy Control ◽  
Induction Motor ◽  
Electric Vehicle ◽  
Control Strategy ◽  
Energy Recovery ◽  
Direct Torque Control ◽  
Torque Control ◽  
Torque Control Strategy ◽  
Ac Induction Motor

Aiming to solve the energy saving problem in modern electric vehicle, we propose a motor-generator integration control system based on the induction motor and the fuzzy control theory in this paper. A motor-generator hardware platform is built up using the four quadrant characteristic of AC induction motor. The AC induction motor works both as driving motor of the electric vehicle and as well as the energy recovery generator. Specifically, the fuzzy direct torque control strategy is adopted in the motor state, and fuzzy instantaneous torque control strategy in power generation state. A simulation is carried out to analyze the practicality of the proposed control method, the simulation results show that the fuzzy torque control technology is well performed. Finally, a simulative energy recovery experimental platform is built up to test the proposed integration control system, and results shown that the efficiency of energy recovery could be up to 97.3%.

scholarly journals The complex controller for three-phase induction motor direct torque control

2009 ◽  
Vol 20 (2) ◽  
pp. 256-262 ◽  
Author(s):  
Alfeu J. Sguarezi Filho ◽  
E. Ruppert Filho
Keyword(s):  
Induction Motor ◽  
Closed Loop ◽  
Direct Torque Control ◽  
Torque Control ◽  
Closed Loop System ◽  
Low Speed ◽  
Tuning Method ◽  
Three Phase ◽  
Model Complex ◽  
System Frequency

This paper proposes a design and tuning method for a complex gain controller, based on the three-phase induction motor mathematical model complex transfer function to be used in the direct torque control at low speed which is a problem so far. The design and tuning of the complex gain is done by using the closed loop system frequency-response function. Experimental results are presented to validate the controller and operation at low speed is also explored.

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.

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