A New Strategy-Based PID Controller Optimized by Genetic Algorithm for DTC of the Doubly Fed Induction Motor

Proportional Integral Derivative (PID) is the most popular controller used in automatic systems, because of its robustness, ability to adapt the behaviors of the system, making them converge toward its optimum. These advantages are valid only in the case of the linear systems, as they present poor robustness in nonlinear systems. For that reason, many solutions are adopted to improve the PID robustness of the nonlinear systems. The optimization algorithm presents an efficient solution to generate the optimums PID gains adapting to the system’s nonlinearity. The regulation speed in the Direct Torque Control (DTC) is carried out by the PID controller, which caused many inconveniences in terms of speed (overshoot and rejection time), fluxes, and torque ripples. For that, this work describes a new approach for DTC of the Doubly Fed Induction Motor (DFIM) powered by two voltage inverters, using a PID controller for the regulation speed, based on a Genetic Algorithm (GA), which has been proposed for adjustment and optimizing the parameters of the PID controller, using a weighted combination of objective functions. To overcome the disadvantages cited at the beginning, the new hybrid approach GA-DTC has the efficiency to adapt to the system’s nonlinearity. This proposed strategy has been validated and implemented on Matlab/Simulink, which is attributed to many improvements in DFIM performances, such as limiting speed overshoot, reducing response time and the rate of Total Harmonic Distortion (THD) of the stator and rotor currents, and minimizing the rejection time of speed and amplitude of the torque and flux ripples.

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Genetic algorithm and particle swarm optimization tuned fuzzy PID controller on direct torque control of dual star induction motor

Journal of Central South University ◽

10.1007/s11771-019-4142-3 ◽

2019 ◽

Vol 26 (7) ◽

pp. 1886-1896 ◽

Cited By ~ 6

Author(s):

Ghoulemallah Boukhalfa ◽

Sebti Belkacem ◽

Abdesselem Chikhi ◽

Said Benaggoune

Keyword(s):

Genetic Algorithm ◽

Particle Swarm Optimization ◽

Induction Motor ◽

Pid Controller ◽

Direct Torque Control ◽

Particle Swarm ◽

Torque Control ◽

Fuzzy Pid ◽

Swarm Optimization ◽

Fuzzy Pid Controller

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Direct torque control of doubly fed induction motor using three-level NPC inverter

Protection and Control of Modern Power Systems ◽

10.1186/s41601-019-0131-7 ◽

2019 ◽

Vol 4 (1) ◽

Cited By ~ 5

Author(s):

Najib El Ouanjli ◽

Aziz Derouich ◽

Abdelaziz El Ghzizal ◽

Mohammed Taoussi ◽

Youness El Mourabit ◽

...

Keyword(s):

Induction Motor ◽

Control Method ◽

System Modeling ◽

Direct Torque Control ◽

Harmonic Distortion ◽

Torque Control ◽

Voltage Source ◽

Modeling And Control ◽

Voltage Source Inverters ◽

Doubly Fed

Abstract This article presents the direct torque control (DTC) strategy for the doubly fed induction motor (DFIM) connected to two three-level voltage source inverters (3LVSIs) with neutral point clamped (NPC) structure. This control method allows to reduce the torque and flux ripples as well as to optimize the total harmonic distortion (THD) of motor currents. The use of 3LVSI increases the number of generated voltage, which allows improving the quality of its waveform and thus improves the DTC strategy. The system modeling and control are implemented in Matlab/Simulink environment. The analysis of simulation results shows the better performances of this control, especially in terms of torque and flux behavior, compared to conventional DTC.

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Performance Characteristics of Induction Motor with Field Oriented Control Compared to Direct Torque Control

International Journal of Power Electronics and Drive Systems (IJPEDS) ◽

10.11591/ijpeds.v7.i4.pp1125-1133 ◽

2016 ◽

Vol 7 (4) ◽

pp. 1125 ◽

Cited By ~ 2

Author(s):

Hamdy Mohamed Soliman

Keyword(s):

Induction Motor ◽

Direct Torque Control ◽

Harmonic Distortion ◽

Torque Control ◽

Performance Characteristics ◽

Field Oriented Control ◽

Advantages And Disadvantages ◽

Ac Motor ◽

Drive Systems ◽

Methods Of Control

With development of power electronics and control Theories, the AC motor control becomes easier. So the AC motors are used instead of the DC motor in the drive applications. With this development, a several methods of control are invented. The field oriented control and direct torque control are from the best methods to control the drive systems. This paper is compared between the field oriented control and direct torque control to show the advantages and disadvantages of these methods of controls. This study discussed the effects of these methods of control on the total harmonic distortion of the current and torque ripples. This occurs through study the performance characteristics of the AC motor. The motor used in this study is an induction motor. This study is simulated through the MATLAB program.

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Performance Improvement of Direct Torque Control Induction Motor Drive using Genetic Algorithm Optimized PI Controller

2018 International Conference on Advancement in Electrical and Electronic Engineering (ICAEEE) ◽

10.1109/icaeee.2018.8642970 ◽

2018 ◽

Author(s):

Md. Tarequzzaman ◽

Sabrina Ahmed ◽

Md. Moznuzzaman

Keyword(s):

Genetic Algorithm ◽

Induction Motor ◽

Performance Improvement ◽

Direct Torque Control ◽

Pi Controller ◽

Torque Control ◽

Motor Drive ◽

Induction Motor Drive

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Improvement of direct torque control applied to doubly fed induction motor under variable speed

International Journal of Power Electronics and Drive Systems (IJPEDS) ◽

10.11591/ijpeds.v11.i1.pp97-106 ◽

2020 ◽

Vol 11 (1) ◽

pp. 97 ◽

Cited By ~ 1

Author(s):

Hala Alami Aroussi ◽

Elmostafa Ziani ◽

Manale Bouderbala ◽

Badre Bossoufi

Keyword(s):

Induction Motor ◽

Control Method ◽

Direct Torque Control ◽

Estimation Method ◽

Torque Control ◽

Variable Speed ◽

Multilevel Inverters ◽

Hysteresis Controller ◽

Doubly Fed ◽

Transient And Steady State

<span>This work is dedicated to the study of an improved direct torque control of the doubly fed induction motor (DFIM). The control method adopts direct torque control 'DTC' because of its various advantages like the ease of implementation which allows a good performance at transient and steady state without PI regulators and rotating coordinate transformations. To do this, the modeling of the motor is performed. Subsequently, an explanation of the said command is spread out as well as the principle of adjusting the flux and the electromagnetic torque according to the desired speed. Then, the estimation method of these two control variables will be presented as well as the adopted switching table of the hysteresis controller model used based on the model of the multilevel inverters. Finally, the robustness of the developed system will be analyzed with validation in Matlab/Simulink environment to illustrate the performance of this control.</span>

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24 Sectors DTC Control with Fuzzy Hysteresis Comparators for DFIM Fed by the Three-level NPC Inverter

WSEAS TRANSACTIONS ON ELECTRONICS ◽

10.37394/232017.2021.12.19 ◽

2022 ◽

Vol 12 ◽

pp. 141-154

Author(s):

Abderrahmane Moussaoui ◽

Habib Benbouhenni ◽

Djilani Ben Attous

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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Induction Motor Direct Torque Control Based on Multiple Neural Networks Optimized by Genetic Algorithm

Advanced Materials Research ◽

10.4028/www.scientific.net/amr.482-484.1985 ◽

2012 ◽

Vol 482-484 ◽

pp. 1985-1989

Author(s):

Gan Zou ◽

Tao Li ◽

Ren Xin Xiao

Keyword(s):

Genetic Algorithm ◽

Neural Networks ◽

Simulation Model ◽

Induction Motor ◽

Direct Torque Control ◽

Torque Control ◽

Speed Sensor ◽

Multiple Neural Networks ◽

The Neural Networks ◽

Simulation Results

Conventional direct torque control(DTC) of induction motor has the problem of large torque ripple.In addition,the speed sensor has its deficiency.A novel DTC system based on multiple neural networks optimized by Genetic Algorithm is proposed and the structures of the proposed system are designed.Genetic algorithm was used to optimize the initial weights and thresholds of the neural networks,All parameters of the neural networks were obtained by offline training.A simulation model of induction motor DTC system was developed in Matlab／Simulink,the simulation results show the feasibility and effectiveness of the scheme

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High-performance adaptive intelligent Direct Torque Control schemes for induction motor drives

Serbian Journal of Electrical Engineering ◽

10.2298/sjee0501093v ◽

2005 ◽

Vol 2 (1) ◽

pp. 93-116 ◽

Cited By ~ 12

Author(s):

M. Vasudevan ◽

R. Arumugam ◽

S. Paramasivam

Keyword(s):

Neural Network ◽

Genetic Algorithm ◽

Induction Motor ◽

High Performance ◽

Fuzzy Controller ◽

Linear Time ◽

Direct Torque Control ◽

Torque Control ◽

Advantages And Disadvantages ◽

State Selection

This paper presents a detailed comparison between viable adaptive intelligent torque control strategies of induction motor, emphasizing advantages and disadvantages. The scope of this paper is to choose an adaptive intelligent controller for induction motor drive proposed for high performance applications. Induction motors are characterized by complex, highly non-linear, time varying dynamics, inaccessibility of some states and output for measurements and hence can be considered as a challenging engineering problem. The advent of torque and flux control techniques have partially solved induction motor control problems, because they are sensitive to drive parameter variations and performance may deteriorate if conventional controllers are used. Intelligent controllers are considered as potential candidates for such an application. In this paper, the performance of the various sensor less intelligent Direct Torque Control (DTC) techniques of Induction motor such as neural network, fuzzy and genetic algorithm based torque controllers are evaluated. Adaptive intelligent techniques are applied to achieve high performance decoupled flux and torque control. This paper contributes: i) Development of Neural network algorithm for state selection in DTC; ii) Development of new algorithm for state selection using Genetic algorithm principle; and iii) Development of Fuzzy based DTC. Simulations have been performed using the trained state selector neural network instead of conventional DTC and Fuzzy controller instead of conventional DTC controller. The results show agreement with those of the conventional DTC.

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