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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 investigates an ordinary least squares based indirect field oriented control (IFOC) of induction motor at very low speed range (1–5 rpm) using a low-count encoder. At very low speeds the speed estimation provided by common techniques for low-count encoder applications such as averaging the last two speed samples and/or considering the previous speed value until the next position update...
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...
Considering the disadvantages of induction motor drive such as torque ripple and current waveform distortion when using direct torque control (DTC) method, the method substitution might improve the drive behaviour. The authors suggest instead of the DTC method using the predictive method based on similar principles. In the paper, both methods are examined. Then on the induction motor drive yet controlled...
This paper deals with the modelling, simulation and implementation of a Fuzzy logic controlled Cuk converter-Inverter fed Induction motor drive. This work proposes PV fed Cuk converter to produce required DC voltage at the input of inverter. The output of the Photo Voltaic (PV) system is boosted using a Cuk converter. The output of the Cuk converter is inverted and applied to a three phase induction...
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...
Direct Torque Control (DTC) technique has been applied in recent times in high performance five-phase induction motor drives during the normal operation of the system. The use of DTC in the multiphase area is far from becoming a reality because it has not been used in competitive multiphase applications where the fault operation needs to be considered. The authors have successfully tested the ability...
This paper describes a Direct Torque Controlled (DTC) Induction Machine (IM) drive that employs feedback linearization and sliding-mode control. A feedback linearization approach is investigated, which yields a decoupled linear IM model with two state variables: torque and stator flux magnitude. This intuitive linear model is used to implement a DTC type controller that preserves all DTC advantages...
In this paper a high performance induction motor drive without speed sensor is investigated. The rotor flux oriented indirect vector control scheme is used for obtaining high performance. In order to eliminate the speed sensor, a MRAS based speed estimator is designed for gathering the rotor speed information. Also a simple but effective loss minimization algorithm is integrated to calculate the optimal...
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...
The paper presents a speed sensorless finite state predictive torque control (FS-PTC) for voltage source inverter-fed induction motor drive. The simple model reference adaptive system (MRAS) based flux vector observer enabling speed sensor elimination is also presented. The novelty of the presented system lays in combination of the FS-PTC structure with simple observer for both torque/flux and speed...
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...
In this paper, the model predictive control (MPC) technique for controlling the speed of sensorless induction motor drive is presented. To decrease the cost and increase the reliability and affectivity of the motor drive, a full order observer for speed estimation based on the model reference adaptive system MRAS is used to estimate the rotor speed. The adaptive full-order observer based on IM equation...
Induction motor is a high efficiency electrical machine when working close to its rated torque and speed. However, at light loads, no balance in between copper and iron losses, results considerable reduction in the efficiency. The part load efficiency and power factor can be improved by making the motor excitation adjustment in accordance with load and speed. In this paper, loss model controller (LMC)...
Stability analysis is one of the most important aspects to determine the performance of electric drive system during dynamic and steady state operating conditions. This is especially important since the motor operates in wide range of frequencies with the complex types of control strategies such as field oriented control and direct torque control. A new dynamic model is developed to study the instantaneous...
This paper presents the application of the model predictive control (MPC) technique for controlling the speed of the induction motor drive. Vector control principle has been used for decoupling between motor speed and rotor flux. A simple model of induction motor is employed in the MPC structure so as to minimize the computational load. The MPC controller design is taken into account the effect of...
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...
This paper presents a loss-model-based controller for an induction motor drive. Among the loss minimization algorithms (LMA) for an induction motor, a loss-model-based approach has the advantages of fast response and high accuracy. However, the performance of the loss-model controller (LMC) depends on the accuracy of the modeling of the motor drive and losses. In the development of the loss model,...
This paper presents an improved FPGA-based torque and stator flux estimators for direct torque control (DTC) induction motor drives, which permit very fast calculations. The improvements are performed by 1) using two's complement fixed-point format approach to minimize calculation errors and the hardware resources usage in all operations, 2) calculating the discrete integration operation of stator...
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