On Line Parameter Estimation And Adaptive Control Of Permanent Magnet Synchronous Machines
Download On Line Parameter Estimation And Adaptive Control Of Permanent Magnet Synchronous Machines PDF/ePub or read online books in Mobi eBooks. Click Download or Read Online button to get On Line Parameter Estimation And Adaptive Control Of Permanent Magnet Synchronous Machines book now. This website allows unlimited access to, at the time of writing, more than 1.5 million titles, including hundreds of thousands of titles in various foreign languages.
On-line Parameter Estimation and Adaptive Control of Permanent Magnet Synchronous Machines
"High performance control of permanent magnet machines (PMSM) requires accurate knowledge of the parameters that describe their mathematical models. This parameter information enables the controller to optimize the drive performance and efficiency, and to react to possible changes in the machine model. Several methods have been tested in order to get motor parameter estimates. Most of them are based on off-line measurements or estimates, which are then stored in the controller. Other methods published are compatible with on-line implementation, but these are usually restricted to a subset of the machine parameters. This dissertation proposes a solution to the problem of on-line estimation of PMSM stator resistance, torque constant and d-q inductances. An analysis of the machine parameters and their effects on motor drive performance that motivates the development of a new parameter estimation algorithm is presented. This algorithm combines two instances of the recursive least squares method, which interact in order to account for different machine parameter dynamics. As a consequence, the presented method is able to provide the controller with parameter estimates even when sudden changes in operation take place. The effectiveness of the proposed parameter estimation algorithm is validated using both a computer simulation and an experimental motor drive. This simulation model was developed specifically for this project and includes accurate inverter and controller modeling, in addition to a machine model that features parameter variation. The simulation model is used in both the algorithm development stages and its validation. The experimental setup provides additional verification of the effectiveness of the proposed algorithm. It is based on the use of a digital signal processor for the controller algorithm implementation, and includes motor drive classical algorithms as well as the proposed parameter estimation program. Both simulation and experimental results demonstrate the performance of the parameter estimation algorithm, both in transient and steady state operations."--Iii-iv.
Parameter Estimation of Permanent Magnet Synchronous Machines
Comprehensive reference delivering basic principles and state-of-the-art parameter estimation techniques for permanent magnet synchronous machines (PMSMs) Parameter Estimation of Permanent Magnet Synchronous Machines reviews estimation techniques of the parameters of PMSMs, introducing basic models and techniques, as well as issues and solutions in parameter estimation challenges, including rank deficiency, inverter nonlinearity, and magnetic saturation. This book is supported by theories, experiments, and simulation examples for each technique covered. Topics explored in this book include: Electrical and mechanical parameter estimation techniques, including those based on current/voltage injection and position offset injection, under constant or variable speed and load for sensored or sensorless controlled PMSMs, accounting for magnetic saturation, cross-coupling, inverter nonlinearity, temperature effects, and more Recursive least squares, the Kalman filter, model reference adaptive systems, Adaline neural networks, gradient-based methods, particle swarm optimization, and genetic algorithms Applications of parameter estimation techniques for improvement of control performance, sensorless control, thermal condition monitoring, and fault diagnosis This book is an essential reference for professionals working on the control and design of electrical machines, researchers studying electric vehicles, wind power generators, aerospace, industrial drives, automation systems, robots, and domestic appliances, as well as advanced undergraduate and graduate students in related programs of study.
Control of Permanent Magnet Synchronous Motors
Author: Sadegh Vaez-Zadeh
language: en
Publisher: Oxford University Press
Release Date: 2018
Permanent magnet synchronous (PMS) motors stand at the forefront of electric motor development due to their energy saving capabilities and performance potential. This book is a timely advancement along that path as the first comprehensive, self-contained, and thoroughly up-to-date book devoted solely to the control of PMS motors.