Direct Torque Control Strategy Based on Fuzzy Logic Controller for a Doubly Fed Induction Motor

This article presents 24 sectors direct torque control (DTC) with fuzzy hysteresis comparators for the doubly-fed induction motor (DFIM) using a three-level neutral point clamped (NPC) inverter. The designed DTC technique of the DFIM combines the advantages of the DTC strategy and fuzzy logic controller. The reaching conditions, stability, and robustness of the DFIM with the designed DTC technique are guaranteed. The designed DTC technique is insensitive to uncertainties, including parameter variations and external disturbances in the whole control process. Finally, the designed DTC technique with fuzzy hysteresis comparators is used to regulate the electromagnetic torque and the flux of the DFIM fed by the three-level NPC inverter and confirms the validity of the designed DTC technique. Results of simulations containing tests of robustness and tracking tests are presented.

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24 sectors DTC control with fuzzy hysteresis comparators for DFIM fed by 3 level inverter

10.14293/s2199-1006.1.sor-.ppdgiwu.v1 ◽

2021 ◽

Author(s):

Mustefa Jibril

Keyword(s):

Fuzzy Logic ◽

Induction Motor ◽

Fuzzy Logic Controller ◽

Direct Torque Control ◽

Control Process ◽

Torque Control ◽

Electromagnetic Torque ◽

External Disturbances ◽

Parameter Variations ◽

Doubly Fed

This article presents 24 sectors direct torque control (DTC) with fuzzy hysteresis comparators for the doubly-fed induction motor (DFIM) using a three-level neutral point clamped (NPC) inverter. The designed DTC technique of the DFIM combines the advantages of the DTC strategy and fuzzy logic controller. The reaching conditions, stability, and robustness of the DFIM with the designed DTC technique are guaranteed. The designed DTC technique is insensitive to uncertainties, including parameter variations and external disturbances in the whole control process. Finally, the designed DTC technique with fuzzy hysteresis comparators is used to regulate the electromagnetic torque and the flux of the DFIM fed by the three-level NPC inverter and confirms the validity of the designed DTC technique. Results of simulations containing tests of robustness and tracking tests are presented.

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An Efficient Direct Torque Control Strategy for a Doubly Fed Induction Generator (DFIG) in Wind Energy Conversation Systems

2021 IEEE Texas Power and Energy Conference (TPEC) ◽

10.1109/tpec51183.2021.9384993 ◽

2021 ◽

Author(s):

Hossein Parivar ◽

Mojtaba Shivaie ◽

Ahmad Darahi ◽

Meisam Ansari

Keyword(s):

Wind Energy ◽

Control Strategy ◽

Direct Torque Control ◽

Torque Control ◽

Induction Generator ◽

Doubly Fed Induction Generator ◽

Energy Conversation ◽

Torque Control Strategy ◽

Doubly Fed

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

Advanced Materials Research ◽

10.4028/www.scientific.net/amr.328-330.2172 ◽

2011 ◽

Vol 328-330 ◽

pp. 2172-2180 ◽

Cited By ~ 1

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%.

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

Applied Mechanics and Materials ◽

10.4028/www.scientific.net/amm.573.155 ◽

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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