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A detailed traction model for the Taipei Mass Rapid Traction system is developed, and a new speed controller based on Neural Network and PID (NN-based PID) is proposed. The model, which is developed in MATLAB/ Simulink, has three main parts: traction system, third rail voltage system, and load. The train model characterizes the traction motor and the coupling effect of mechanical and electrical parts...
For the stable and effective operation of the induction motor proper estimation of the stator resistance is very essential. This is because stator resistance keeps on increasing with the temperature when the motor is in operation which results in high torque and flux ripple. A method based on artificial neural network to estimate the stator resistance of induction motor for direct torque control drive...
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...
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...
With the development of electrical machines in specific working conditions, the significant increase of power energy losses take place while their thermal capability is constantly decreased. The thermal overheating and cycling degrades the integrity of the materials used for stator winding insulation, resulting in acceleration of thermal aging. A new approach for induction motor temperature monitoring...
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...
Induction motors are widely used in industry due to the fact that they are relatively cheap, rugged and maintenance free. As a consequence, much attention has been given to the motor torque and speed control. The control schemes available today require information regarding speed of the motor, which can either be obtained by using speed sensors or without speed sensors. Speed sensors have several...
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