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The rapid advancements in induction motor drives has led to the development of robust non-linear controller such as Fuzzy Logic Controller (FLC). The proportional integral or derivative controllers (PI, PID, and PD) have been in use for induction motor drives for past decades as speed and current controller's. However, these controllers are fixed to motor parameter changes which results in decrease...
This paper presents the simplified self tuning Fuzzy Logic Speed Controller (FLSC) with output scaling factor tuner for Induction Motor Drive. In general, self tuning mechanism is able to improve the drive performance. However, implementing fuzzy self-tuning mechanism will increase the complexity of the control algorithm. The number of rules will significantly affect the computation time and memory...
In this paper Direct torque control technique of induction motor is used with different controlling techniques. These techniques are Direct Torque Control with Proportional controller, Proportional Integral controller, Fuzzy Logic controller, Neural Network and Space Vector Modulation. In all the techniques by performing experiments, I have calculated the reading of electromagnetic torque, stator...
This paper presents a novel design and an application of an adaptive neuro-fuzzy controller technique with a linearized induction motor control scheme for the better dynamic performance of induction motor drive control. The linear decoupling of rotor flux and torque of induction motor is carried out by modelling and simulating the induction motor in stationary reference frame with feedback controller...
Induction motors have many applications in the industries, because of the low maintenance and robustness. The speed control of induction motor is very important to achieve maximum torque and efficiency. In the same period, there were also advances in control methods and Artificial Intelligent (AI) techniques, including expert system, fuzzy logic, neural networks and genetic algorithm. Researchers...
In the industrial sector especially in the field of electric drives & control, induction motors play a vital role. Without proper controlling of the speed, it is virtually impossible to achieve the desired task for a specific application. Based on the inability of conventional control methods like PI, PID controllers to work under wide range of operation, artificial intelligent based controllers...
This paper presents a comparative study between a self-tuning fuzzy (STF) PID controller, Fuzzy Logic Controller and conventional PID controller based speed control system for a current source PWM inverter fed indirect field oriented control of Induction Motor (IM) Drives. In this work the conventional PI controller is replaced by self-tuning fuzzy PID based intelligent controller. The fuzzy logic...
In this research study, a new speed control scheme is proposed for direct torque and flux control (DTFC) of induction motor drive (IMD) to replace the conventional constant gain PI-speed controller (PISC). The conventional PISC offers poor dynamic response of stator current, torque and motor speed under sudden change in speed or load torque disturbances. In order to improve the dynamic as well as...
Efficiency improvement of motor drives is important not only from the viewpoints of energy loss and hence cost saving, but also from the perspective of environmental pollution. Several efficiency optimization methods for induction motor (IM) drives have been introduced nowadays by researchers. Distinctively, artificial intelligence (AI)-based techniques, in particular Fuzzy Logic (FL) one, have been...
The paper presents a fuzzy logic speed control system based on fuzzy logic approach for an indirect vector controlled induction motor drive for high performance. The analysis, design and simulation of the fuzzy logic controller for indirect vector control induction motor are carried out based on fuzzy set theory. The proposed fuzzy controller is compared with PI controller with no load and various...
Classical direct torque control (DTC) has advantage in absence of coordinate transform and voltage modulator block. However, it may have disadvantage in controlling electromagnetic torque. DTC produces high ripple in electromagnetic torque as it is not directly controlled. High torque ripple causes vibrations to the motor which may lead to component lose, bearing failure or resonance. Thus, Fuzzy...
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 sensorless speed observer method of an induction motor using an artificial intelligent technique in field-oriented control system. Speed and rotor flux are estimated from only measurable variables, the stator voltages and currents. The proposed estimation algorithm uses a deterministic state observer combined with an intelligent adaptive mechanism based on fuzzy logic, and using...
This paper presents a fuzzy logic controller (FLC) based direct torque control of induction motor (IM) drive to reduce the ripple in developed torque and stator flux. First the effect of amplitude of torque hysteresis band on the torque ripple of an IM motor is discussed. Finally, a strategy to reduce the ripple in the developed torque and stator flux is proposed by controlling the amplitude of the...
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...
Because of its 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 simulation studies on the optimal energy control of an inverter-fed three-phase induction motor (1 hp). An overview of various controllers: loss model controller, search controller and their hybridization are given. Induction motor parameter variations due to temperature rise and core saturation are considered when loss models are derived. Mine hoist drive of a mineral industry...
In this paper, an application of the fuzzy logic scheme for direct torque fuzzy control (DTFC) of an Induction Motor (IM) AC drive is proposed. The proposed DTFC is based on fuzzy logic technique switching table is described and compared with conventional direct torque control (DTC). The comparison with DTC shows that the use of the DTFC reduces the torque, stator flux, and current ripples. The proposed...
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