Modelling of Neural Network based Speed Controller for Vector Controlled Induction Motor Drive

This project work start with the development of simulation model of rotor magnetic field oriented vector control system based on MATLAB software. This paper proposes the development of a Neural Network controller in place of PI controller commonly used in the vector control structure for efficient speed control and smaller settling time. It is expected that the proposed modified vector control structure based on Neural Network controller smoothen out the ripples in the motor torque and stator current as fine as will provide best speed regulation with smaller settling time requirement. DOI: 10.17762/ijritcc2321-8169.150512

Precise computer models of the induction machine in the Matlab/Simulink

Based on mathematical model of induction machine in orthogonal coordinate system, rotating with arbitrary angular speed, the computer model of this machine in software of Matlab/Simulink is built. The development of this model is relatively easy given the opportunity to consider in it the major deviations from the idealized: iron losses, saturation the main magnetic path and the paths of leakage magnetic flux, current displacement in squirrel-cage winding of rotor

Design and Simulation of an Efficient Neural Network Based Speed Controller For Vector Controlled Induction Motor Drive

This project work start with the development of simulation model of rotor magnetic field oriented vector control system based on MATLAB software. This paper proposes the development of a Neural Network controller in place of PI controller commonly used in the vector control structure for efficient speed control and smaller settling time. After successful implementation of proposed Neural Network controller, the results obtained, which shows the superior performance of NN controller over conventional PI controller. In addition to this, It is also shown by the resultant response that, the proposed modified vector control structure based on Neural Network controller smoothen out the ripples in the motor torque and stator current as fine as will provide best speed regulation with smaller settling time requirement. DOI: 10.17762/ijritcc2321-8169.150517

Математические модели асинхронной машины с учетом потерь в железе

Отримано математичні моделі асинхронної машини із врахуванням втрат у залізі для низки варіантів вибору змінних стану, а також отримано модель машини при орієнтуванні рухомої системи координат за вектором потокозчеплення ротора.Получены математические модели асинхронной машины с учетом потерь в железе для ряда вариантов выбора переменных состояния, а также получена модель машины при ориентировании подвижной системы координат по вектору потокосцепления ротора

Performance Analysis Of IPMSM Drive Using Fuzzy Logic Controller Based Loss Minimization Algorithm (LMA)

This project presents an online loss-minimization algorithm (LMA) for a fuzzy-logic-controller (FLC)-based interior permanent-magnet synchronous-motor (IPMSM) drive to yield high efficiency and high dynamic performance over a wide speed range. LMA is developed based on the motor model. In order to minimize the controllable electrical losses of the motor and thereby maximize the operating efficiency, the d-axis armature current is controlled optimally according to the operating speed and load conditions. For vector-control purpose, FLC is used as a speed controller, which enables the utilization of the reluctance torque to achieve high dynamic performance as well as to operate the motor over a wide speed range. In order to test the performance of the proposed drive in real time, the complete drive is experimentally implemented using DSP board DS1104 for a prototype laboratory 5-hp motor. The performance of the proposed loss-minimization-based FLC for IPMSM drive is tested in both simulation and experiment at different operating conditions. A performance comparison of the drive with and without the proposed LMA-based FLC is also provided. It is found from the results that the proposed LMA and FLC-based drive demonstrates higher efficiency and better dynamic responses over FLC-based IPMSM drive without LMA. In this project, an online LMA-based speed-control scheme of IPMSM drive incorporating an FLC has been presented. The LMA was developed based on the motor model

Offline Parameter Estimation of a 18.5 kW Doubly fed induction generator

Thesis (MEng)--Stellenbosch University, 2018.ENGLISH ABSTRACT: In the past years, technology advancements have allowed the wind energy to become one of the most economical forms of power generation in the field of renewable energies. Nowadays, wind turbines that produce electricity make use of the advance and mature technologies and generate sustainable sources of energy. In the areas where the wind is plentiful, it is a major rival to the conventional sources of energy. Many countries worldwide have vast resources of it but still, haven’t used its capacity to the fullest. The upsides of wind energy are: . Omitting the emission of greenhouse gases. . The energy supplies can be increased and diversified using wind energy. . In comparison to the other power sources, a shorter time is required for planning, design, and construction. The flexibility of such projects so that the current wind farms can host more turbines in case of higher demand for energy. . Finally, a significant saving in terms of materials, labor and investment. The extracted energy from the wind, is in the form of kinetic energy and is harnessed by the rotor blades and turned into mechanical energy. Then, this mechanical energy is transformed into the electrical energy by a wind turbine generator. The nominal power extracted from the wind varies based on the size of the rotor and the wind speed, regardless of the losses. The power ratings for wind generators varies from some hundred watts to multi-megawatt generators depending on the utilization and where they are stationed. Nowadays, a vast percentage of the larger scale wind generators employ the geared topologies, AC outputs connected to the power grid through power electronic converters, while it seems that the dynamic in the market is gradually changing towards employing the permanent magnet, gearless topologies by using the fully-rated power electronic converters. On the other hand, the small-scale turbines usually employ the direct drive generators with DC outputs and aeroelastic blades. However, the use of wind generators in a direct drive topology accompanied by the aeroelastic blades and DC outputs is rarely used and still under development. It is impossible to have the exact same power generation from the wind each year due to its variable nature. Furthermore, the wind generators can only be used in areas where a minimum speed of 4.5 m/s or higher is available. The suitable sites are chosen based on the measurements on the site and the data from a wind atlas. There are several methods for analyzing the dynamic behavior of the wind turbines. Employing the parameters of such systems is a suitable way to analysis the machine dynamic behavior and reduces complexities regarding the use of higher order models. The problem is that these parameters are subject to change in different operating conditions and need to be estimated accurately by some methods. This study concentrates on estimating the parameters of a doubly fed induction generator by employing the previously proposed Mathlab c-code and s-function codes and investigates the practical application of that method on a 18.5 kW doubly fed induction generator.AFRIKAANSE OPSOMMING: In die afgelope jaar het tegnologie vooruitgang die windenergie toegelaat om een van die mees ekonomiese vorme van kragopwekking op die gebied van hernubare energie te word. Vandag maak windturbines wat elektrisiteit produseer, gebruik van die voor- en volwasse tegnologie en volhoubare energiebronne. In die gebiede waar die wind oorvloed is, is dit 'n groot mededinger in die konvensionele energiebronne. Baie lande wêreldwyd het groot middele, maar het nog steeds nie sy vermoë tot die uiterste gebruik nie. Die opwaartse windenergie is: . Om die uitstoot van kWeekhuisgasse uit te skakel. . Die energiebronne kan verhoog en gediversifiseer word met behulp van windenergie. . In vergelyking met die ander kragbronne word 'n korter tyd benodig vir beplanning, ontwerp en konstruksie. . Die buigsaamheid van sulke projekte, sodat die huidige windplase meer turbines in die geval van hoër vraag na energie kan gasheer. . Ten slotte, 'n beduidende besparing in terme van materiale, arbeid en belegging. Die energie wat uit die wind onttrek word, is in die vorm van kinetiese energie en word deur die rotorblades aangewend en omskep in meganiese energie. Dan word hierdie meganiese energie omgeskakel na die elektriese energie deur 'n windturbine generator. Die nominale krag wat uit die wind onttrek word, hang af van die grootte van die rotor en die windspoed, ongeag die verliese. Die kraggraderings vir windopwekkers wissel van sowat honderd watt na multi-megawatt kragopwekkers, afhangende van die gebruik en waar hulle gestasioneer is. Deesdae gebruik 'n groot persentasie van die grootskaalse windopwekkers die toegepaste topologieë, AC-uitsette wat via die elektriese elektroniese omsetters aan die rooster verbind word, terwyl dit blyk dat die dinamiek in die mark geleidelik verander na die gebruik van die permanente magneet, ratlose topologieë deur die volwaardige krag elektroniese omsetters. Aan die ander kant gebruik die kleinschalige turbines gewoonlik die direkte dryfgenerators met gelykstroomuitsette en aeroelastiese lemme. Die gebruik van windgenerators in 'n direkte dryf topologie, vergesel van die aeroelastiese lemme en GS-uitsette word egter selde gebruik en steeds onder ontwikkeling. Dit is onmoontlik om elke jaar dieselfde kragopwekking uit die wind te kry as gevolg van die veranderlike aard daarvan. Verder kan die windgenerators slegs gebruik word in gebiede waar 'n minimum spoed van 4,5 m / s of hoër beskikbaar is. Die geskikte plekke word gekies op grond van die metings op die terrein en die data van 'n windatlas. Daar is verskeie metodes om die dinamiese gedrag van die windturbines te ontleed. Die gebruik van die parameters van sulke stelsels is 'n geskikte manier om die masjien dinamiese gedrag te ontleed en kompleksiteite te verminder rakende die gebruik van hoë-orde modelle. Die probleem is dat hierdie parameters onderworpe is aan verandering in verskillende bedryfsomstandighede en deur sommige metodes akkuraat beraam moet word. Hierdie studie fokus op die raming van die parameters van 'n dubbel gevoed induksie generator deur gebruik te maak van die voorheen voorgestelde Mathlab c-kode en s-funksie kodes en ondersoek die praktiese toepassing van die metode op 'n 18.5 kW dubbel gevoed induksie generator