Fuzzy Controller for DTC-SVM of Induction Motor Using Sample Reference Phase Voltages

2020 ◽  
pp. 295-303
Author(s):  
Y. Laxmi Narasimha Rao ◽  
G. Ravindranath
Keyword(s):  
Induction Motor ◽  
Fuzzy Controller ◽  
Reference Phase

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.

Neuro Fuzzy Controller for DTC of Induction Motor Using Multilevel Inverter with SVM

2021 ◽  
pp. 2150250
Author(s):  
B. Kiran Kumar ◽  
Y. V. Siva Reddy ◽  
M. Vijaya Kumar
Keyword(s):  
Induction Motor ◽  
Fuzzy Logic Controller ◽  
Fuzzy Controller ◽  
Reference Voltage ◽  
Training Dataset ◽  
Testing Time ◽  
Hybrid Technique ◽  
Nonlinear Loads ◽  
Neuro Fuzzy ◽  
Voltage Signal

In this paper, an effective neuro-fuzzy controller (NFC) technique has been proposed to control the induction motor torque and flux. The NFC hybrid technique is the grouping of the neural network (NN) and fuzzy logic controller (FLC), which generated the target voltages with the corresponding input flux and torque. The novelty of the proposed hybrid technique is highly flexible in nonlinear loads, convenient user interface and logical intellectual and permitting for integrated controlling schemes. Here, the FLC generates the training dataset of the NN technique based on the logical rules. The generated dataset contains the information about the flux and torque deviation parameters and the corresponding reference voltage parameters. The NN has been trained based on training dataset and the testing time which produces the optimal reference voltage parameters depends on the variation of the torque and flux parameters. By using the output of the NFC technique, the space vector modulation (SVM) develops the appropriate control pulses to the five-level inverter and the inverter generates the output voltage signal to the induction motor. The proposed method is designed in the MATLAB/Simulink platform and the outputs are verified through the comparison analysis with the existing techniques.

Hybrid fuzzy-fuzzy controller for PWM-driven induction motor drive

2014 ◽  
Author(s):  
Muawia A. Magzoub ◽  
Nordin B. Saad ◽  
Rosdiazli B. Ibrahim ◽  
M. Maharun ◽  
Saiful A. Zulkifli
Keyword(s):  
Induction Motor ◽  
Fuzzy Controller ◽  
Motor Drive ◽  
Induction Motor Drive

scholarly journals Role of optimization algorithms based fuzzy controller in achieving induction motor performance enhancement

2020 ◽  
Vol 11 (1) ◽  
Author(s):  
M. A. Hannan ◽  
Jamal Abd. Ali ◽  
M. S. Hossain Lipu ◽  
A. Mohamed ◽  
Pin Jern Ker ◽  
...  
Keyword(s):  
Induction Motor ◽  
Motor Performance ◽  
Performance Enhancement ◽  
Fuzzy Controller ◽  
Optimization Algorithms

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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