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This paper presents the speed control scheme of indirect vector controlled induction motor (IM) drive. PWM controlling scheme is based on Voltage source inverter type space vector pulse width modulation (SVPWM) and the Conventional-PI controller or Fuzzy-PI controller is employed in closed loop speed control. Decoupling of the stator current into torque and flux producing (d-q) current components...
Because of the low maintenance and robustness induction motors have many applications in the industries. Most of these applications need fast and smart speed control system. This paper introduces a smart speed control system for induction motor using fuzzy logic controller. Induction motor is modeled in synchronous reference frame in terms of dq form. The speed control of induction motor is the main...
This paper presents a method for improving the speed profile of a three phase induction motor in direct torque control (DTC) drive system using a proposed fuzzy logic based speed controller. A complete simulation of the conventional DTC and closed-loop for speed control of three phase induction motor was tested using well known Matlab/Simulink software package. The speed control of the induction motor...
This paper presents Adaptive Neuro-Fuzzy Inference System (ANFIS) based intelligent control of vector controlled induction motor drive. The proposed intelligent control scheme consists of sensorless adaptive neuro-fuzzy speed controller with speed estimation based on adaptive neuro-fuzzy inverse model. The proposed neuro-fuzzy speed controller incorporates fuzzy logic algorithm with a five-layer artificial...
This paper presents a novel fuzzy logic controller (FLC) for indirect vector control induction motor (IM) drive. The fuzzy logic speed controller is used in the speed loop. The 4 kW three-phase squirrel cage IM is fed by a current controlled voltage source inverter (CCVSI). The complete vector control scheme of the IM drive is implemented in real time using TMS320LF2812 digital signal processor. The...
This paper demonstrates the improved speed tracking performance of fuzzy based indirect field oriented control of induction motor drives in comparison to a conventional PI control in hybrid electric vehicle (HEV) application. Both types of controllers are subjected to changes in loading conditions and rotor resistance which is expected to vary with the high temperature of HEV drive environment. Results...
The field-oriented control of induction machines is widely used in high-performance applications. However, detuning caused by parameter disturbances still limits the performance of these drives. In order to accomplish variable-speed operation, conventional PID-like controllers are commonly used. These controllers provide limited good performance over a wide range of operation, even under ideal field-oriented...
This paper presents a modified method for estimating rotor speed of an indirect vector-controlled induction motor drive using fuzzy logic (FL) technique. The proposed method is based on model reference adaptive control that uses the stator current and rotor flux as state variables for estimating the speed. In this method, the stator current error is represented as a function of first degree of the...
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