MODELING SYSTEMS DIRECT TORQUE CONTROL USING А THREE-PHASE MATHEMATICAL MODEL

2016 ◽  
Vol 22 (98) ◽  
pp. 56-61
Author(s):  
Vladislav A. Kosenko ◽  
◽  
Valeriy O. Kvashnin ◽  
2005 ◽  
Vol 41 (6) ◽  
pp. 1627-1636 ◽  
Author(s):  
R. Bojoi ◽  
F. Farina ◽  
G. Griva ◽  
F. Profumo ◽  
A. Tenconi

2019 ◽  
Author(s):  
R. Senthil Kumar ◽  
S. Jayanandhini ◽  
J. Jenisha ◽  
M. Jayalakshmi ◽  
S. Madhumitha

Author(s):  
Alfeu J. Sguarezi Filho ◽  
E. Ruppert Filho

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.


2014 ◽  
Vol 573 ◽  
pp. 155-160
Author(s):  
A. Pandian ◽  
R. Dhanasekaran

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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