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In this paper an artificial neural network (ANN) based speed estimator is presented for vector-controlled squirrel cage induction motor (IM) drive. The drive is stable in all operating region and is independent of stator resistance variation. Stator currents, modified stator voltages (Reference values) with stator resistance adaption are used as input to the ANN and rotor speed is treated as the output...
This work presents a twin sliding mode controller (TSMC) and neural network-based estimators for vector controlled induction motor (IM) drives. The proposed TSMC is used as a speed controller. In contrast with conventional sliding mode control (SMC), the TSMC can more significantly improve the dynamic response and eliminate the chattering effect. Additionally, estimators are implemented respectively...
The performance of the vector control depends on the precise measurements of parameters in motor. The rotor resistance is one of the most important parameters. An adaptive scheme for on-line identification of the rotor resistance based on the artificial neural networks is proposed in this paper. By using the BP algorithm theory, the rotor flux error between the voltage model and the neural network...
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...
The performance of the vector control depends on the precise measurements of parameters in motor. The rotor resistance is one of the most important parameters. And its variation is very significant because of the temperature rise and skin effect during the implementation of control. A rotor resistance estimation method based on artificial neural network (ANN) is proposed in this paper combining with...
In the conventional direct torque control system, both of the torque and stator flux errors between reference and estimated values are directly compared, and the appropriate voltage vector is produced by a switching table. On basis of quick torque response and robustness against parameter variation, the direct torque control system has been widely used in the industrial production. To improve its...
Due to quick torque response and robustness against parameter variation, the direct torque control system has been widely utilized in the industrial production. To improve its dynamic performance, a novel approach using wavelet network for identifying stator resistance online is proposed. The wavelet transform can accurately detect and localize signal characteristic in time frequency domains, where...
This paper presents an artificial neural network (ANN) observer for a speed sensorless permanent magnet synchronous generator (PMSG) in wind energy conversion system (WECS). In order to perform maximum power point tracking control of the wind generation system, it is necessary to drive wind turbine at an optimal rotor speed. From the aspect of reliability and increase in cost, wind velocity sensor...
This paper presents two new methods of online estimation for the rotor time constant of the induction motor for indirect vector control drives. These methods are presented using artificial neural networks with steepest descent back propagation training algorithm and recursive least square algorithm. These methods use measurements of the stator voltages, stator currents and the rotor speed. The problem...
A novel method of stator resistance identification based on wavelet network is presented and the determination of wavelet network structure is discussed in order to improve the low-speed dynamic performance of induction motor in direct torque control. The current error and the change in the current error is the inputs of the wavelet network and the stator resistance error is the output of the wavelet...
This paper introduces a new method of stator resistance identification based on wavelet network in order to improve the low-speed dynamic performance of induction motor in direct torque control. Because of the advantage of wavelet transform, the desired feature of the transient signal can be extracted conveniently from both the magnitudes and arguments of wavelet coefficients and the control precision...
This paper presents a new method of on-line estimation for the stator and rotor resistances of the induction motor in the indirect vector controlled drive, using artificial neural networks. The back propagation algorithm is used for training of the neural networks. The error between the rotor flux linkages based on a neural network model and a voltage model is back propagated to adjust the weights...
Induction motors have some inherent characteristics such as multivariate, parameter indeterminacy, strong coupling and non-linearity. These bring about a lot of trouble to the induction motor drive system. Considering the problems of AC speed regulation cause by the motor's inherent characteristics, a fuzzy control strategy based on the RBF neural network was presented. It was designed to make full...
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