Direct Torque Control of Induction Motor with Fuzzy Controller: A Review
نویسندگان
چکیده
At present, induction motors are the dominant drives in various industries. It is quite cumbersome to control an induction motor (IM) because of its poor dynamic response in comparison to the DC motor drives. The central theme of Vector Control (VC) is to decouple the stator current of the IM into two orthogonal components and is to control these two components individually so as to achieve an independent control of flux and torque of the IM. VC is still very complex to implement. Direct Torque Control (DTC) is an improvised VC method. With the DTC scheme employing a Voltage Source Inverter, it is possible to control directly the stator flux linkage and the electromagnetic torque by the optimum selection of inverter switching vectors. The modeling of an IM drive employing DTC with application of fuzzy is performed in this article, it is better to understand the DTC and its difficulties. The reference voltage vector is then realized using a voltage vector modulator. Several variations of DTC-SVM have been proposed and discussed in the literature. The work of this review paper is to study, evaluate and compare the various techniques of the DTC-SVM applied to the Induction Motor.
منابع مشابه
Seven-Level Direct Torque Control of Induction Motor Based on Artificial Neural Networks with Regulation Speed Using Fuzzy PI Controller
In this paper, the author proposes a sensorless direct torque control (DTC) of an induction motor (IM) fed by seven-level NPC inverter using artificial neural networks (ANN) and fuzzy logic controller. Fuzzy PI controller is used for controlling the rotor speed and ANN applied in switching select stator voltage. The control method proposed in this paper can reduce the torque, stator flux and to...
متن کاملPerformance Improvement of Direct Torque Controlled Interior Permanent Magnet Synchronous Motor Drives Using Artificial Intelligence
The main theme of this paper is to present novel controller, which is a genetic based fuzzy Logic controller, for interior permanent magnet synchronous motor drives with direct torque control. A radial basis function network has been used for online tuning of the genetic based fuzzy logic controller. Initially different operating conditions are obtained based on motor dynamics incorporating...
متن کاملTuning of fuzzy controller coefficients in direct torque control with space vector modulator for the three phase induction motors drive using Metaheuristic algorithms with considering electrical faults.
Among all the drive control methods of induction motors, the Direct Torque Control (DTC) method operates independently of the rotor parameters of the machine and, despite its simplicity, provides good torque control in both stable and transient modes. The use of residual comparators in these drives reduces the torque ripple and variable switching frequency. The most common solution is the use o...
متن کاملEfficiency Improvement of Induction Motor using Fuzzy-Genetic Algorithm
In most industrial zones, electric energy is one of the most important energy sources. Since electrical motors are the main energy consumers of industrial factories, consumption optimization in these motors can be considered as a main option related to energy saving. One very effective way to reduce the consumption of these equipment is to use a motor speed controllers or drives. Since the loss...
متن کاملA Novel Variable Gain PI Controller Used for Speed Control of a Direct Torque Neuro Fuzzy Controlled Induction Motor
This paper presents an original variable gain PI (VGPI) controller for speed control of a direct torque neuro fuzzy controlled (DTNFC) induction motor drive. First, a VGPI speed controller is designed to replace the classical PI controller in a conventional direct torque controlled induction motor drive. Its simulated performances are then compared to those of a classical PI controller. Then, a...
متن کاملModeling and Direct Torque Control of Induction Motor by Using Hybrid Control Technique
In this paper, an adaptive neuro fuzzy interference (ANFIS) based hybrid field oriented speed controlling of an induction motor is proposed. The proposed hybrid field oriented speed controller results attractive performance of induction motor with the potential features of both Artificial Neural network (ANN) and Fuzzy Logic Controller (FLC). In this topology the Artificial Neural Network (ANN)...
متن کامل