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This paper presents a direct torque control technique for Brushless DC motors with non-sinusoidal back electromotive force. Direct torque control has some benefits such as faster torque response and reduced torque ripple for driving the Brushless DC motors. The Sliding mode observer, which is robust to parameter uncertainties, can be used to estimate the back-EMF and generate the torque. It is employed...
In this paper, a direct torque control (DTC) of encoderless Synchronous Reluctance Motor (SynRM) drives is proposed based on emotional controller and space vector modulation. The proposed modern controller is called brain emotional learning based intelligent controller (BELBIC). The utilization of BELBIC is based on the emotion processing mechanism in brain, and is essentially an action, which is...
Multiphase electric drives have been recently proposed for applications where the highest overall system reliability, combined with a reduction in the total power per phase, are required. Strategies like Field Oriented Control (FOC) and Direct Torque Control (DTC) have been traditionally used in these high performance applications. In this paper, a Predictive Torque Control (PTC) method is introduced...
This paper presents the fuzzy inference system for selecting the switch states of matrix converter using Direct Torque Control Technique to control the speed of induction motor. In this system, two fuzzy controllers are used. One fuzzy controller estimates the voltage and the other fuzzy controller is used to select the switching vector based on the voltage vector selected by the first fuzzy controller...
In the traditional direct torque control (DTC) of induction motor, the low order harmonic component of stator current is very large when the motor is running at low speed. It leads to high torque ripple of motor in low speed. To solve this problem, a new control method has been proposed in this paper. Base on the traditional DTC method, electromagnetic torque and flux models have been analyzed. To...
The key problem for BLDCM to obtain high performance is to reduce the ripple of torque. Current hysteresis PWM used for BLDCM can reduces the ripple of current, but not torque because the nonlinear relation between current and torque. Direct torque control is put forward in 1980s. The merit of DTC is that the response of torque is fast, and the ripple of torque is reduced. In this paper, direct torque...
This paper presents a new hybrid cascaded H-bridge multilevel inverter (HCMLI) motor drive DTC control scheme for electric vehicles or hybrid electric vehicles where each phase of the inverter can be implemented using only a single DC source. Traditionally, each phase of the inverter require n DC source for 2n + 1 output voltage levels. In this paper, a scheme is proposed that allows the use of a...
In this paper, a robust self-tuning fuzzy speed controller for direct torque control using space vector modulation (SVM) technique is proposed for the high performance drives of induction motor. The design of robust self-tuning fuzzy speed controller greatly affects the performance of Induction Motor (IM) fed with a Voltage Source Inverter (VSI). The performance of the proposed self-tuning Fuzzy PI...
The predictions of the stator linkage and the torque are not only the important steps in Direct Torque Control (DTC) system, but also one of the input parameters to select the suitable space voltage vectors. In order to overcome the effect of calculation models and the stator resistance on the predictive precision of linkage, a new algorithm based on the predictive calculation to predict the stator...
Direct torque control of induction motor is a kind of high performance of AC drive control method, the method of space vector analysis is the applied, The stator magnetic field, directly on the electromagnetic torque motor stator flux and control. But the change of the stator resistance will affect the performance of direct torque control system when the motor at the low speed This paper describes...
The design and implementation of an adaptive neural network based proportional-integral controller (NNPIC) were carried out on the direct torque control (DTC) system. The proposed controller consists of neural network and projection algorithm, in order to tune its parameters adaptively online under environmental variations. The experimental results proved that the performance of the proposed controller...
Normal direct torque control have the problem of big electricity and torque ripple in low speed, a new control method was presented in this paper in order to solve this problem. We use discrete duty ratio control technology in high region while intelligent direct torque control is used for the low speed region control. Simulation and experiment result show that new method is more effective than traditional...
Bearingless induction motor is a strong coupling of the complexity of nonlinear systems. An new type SVM-DTC way has been proposed. It reduced the dependence on the electrical parameters. In the same time, the advantages of simple structure, rapid response of torque in traditional DTC has been reserved, the shortcomings of torque and flux ripples has been controlled. Use SIMULINK to check the model...
The direct torque control (DTC) technique has been widely used as a control strategy for motor drive system. High torque ripple is a major problem when the motor is running at low speed in DTC system. By analyzing the causes of torque ripple, it is can be found that the change of the speed error signal is a good indicator to determine the situation of motor torque ripple. In this paper, a DTC strategy...
This paper presents the direct torque control (DTC) of a permanent magnets synchronous machine without mechanical speed and position sensors. Those are estimated by using the extended Kalman filter (EKF). The direct torque control (DTC) technique for PMSM is receiving increasing attention due to the important advantages the low dependence on motor parameters when compared with other motor control...
Purpose: to study the performance of DTC system (direct torque control) within the Motorized Spindle full-speed range, and to improve the observation precision of Motorized Spindle stator flux by adopting the Full-order stator flux observer. Method: construct a Motorized Spindle DTC system based on the mathematical model of Motorized Spindle under a static stator reference frame; revise the deviation...
This paper presents an on-line estimation for the stator resistances of the induction motor in the direct torque controlled drive, using artificial neural networks. The variation of stator resistance due to changes in temperature or frequency degrades the performance of such control strategy. In order to solve this issue, a backpropagation algorithm is used for training of the neural network. The...
Due to the multi-variable, strong coupling, nonlinear and time-varying characteristics of induction motor, it is not easy for direct torque control (DTC) system with traditional PID controller to get ideal performance. In order to improve the performance of Direct Torque Control system, a fuzzy PID regulator of motor speed is proposed to adjust the nonlinear control variable. According to the principle...
Direct torque control based on space vector modulation (SVM-DTC) preserve DTC transient merits, furthermore, produce better quality steady-state performance in a wide speed range. A new adaptive neural integration algorithm for estimating stator flux is introduced. The simulations of conventional DTC and the proposed control topologies are given and discussed. It is concluded that the proposed control...
This paper describes a speed sensorless permanent magnet synchronous motor (PMSM) direct torque control (DTC) using single DC-link voltage and current sensors. The phase currents are estimated in a two-stage process: prediction and adjustment. Prediction is based on the dynamic motor model, whereas adjustment relies on the inverter switches states and the measured DC-link current. This system is then...
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