Nested-loop neural network vector control of permanent magnet synchronous motors

With the improvement of battery technology over the past two decades and automotive technology advances, more and more vehicle manufacturers have joined in the race to produce new generation of affordable, high-performance electric drive vehicles (EDVs). Permanent magnet synchronous motors (PMSMs) are at the top of AC motors in high performance drive systems for EDVs. Traditionally, a PMSM is controlled with standard decoupled d-q vector control mechanisms. However, recent studies indicate that such mechanisms show limitations. This paper investigates how to mitigate such problems using a nested - loop recurrent neural network architecture to control a PMSM. The neural networks are trained using backpropagation through time to implement a dynamic programming (DP) algorithm. The performance of the neural controller is studied for typical vector control conditions and compared with conventional vector control methods, which demonstrates the neural vector control strategy proposed in this paper is effective. Even in a highly dynamic switching environment, the neural vector controller shows strong ability to trace rapidly changing reference commands, tolerate system disturbances, and satisfy control requirements for complex EDV drive needs

Induction Motors

AC motors play a major role in modern industrial applications. Squirrel-cage induction motors (SCIMs) are probably the most frequently used when compared to other AC motors because of their low cost, ruggedness, and low maintenance. The material presented in this book is organized into four sections, covering the applications and structural properties of induction motors (IMs), fault detection and diagnostics, control strategies, and the more recently developed topology based on the multiphase (more than three phases) induction motors. This material should be of specific interest to engineers and researchers who are engaged in the modeling, design, and implementation of control algorithms applied to induction motors and, more generally, to readers broadly interested in nonlinear control, health condition monitoring, and fault diagnosis

Mathematical Approaches to Modeling, Optimally Designing, and Controlling Electric Machine

Optimal performance of the electric machine/drive system is mandatory to improve the energy consumption and reliability. To achieve this goal, mathematical models of the electric machine/drive system are necessary. Hence, this motivated the editors to instigate the Special Issue “Mathematical Approaches to Modeling, Optimally Designing, and Controlling Electric Machine”, aiming to collect novel publications that push the state-of-the art towards optimal performance for the electric machine/drive system. Seventeen papers have been published in this Special Issue. The published papers focus on several aspects of the electric machine/drive system with respect to the mathematical modelling. Novel optimization methods, control approaches, and comparative analysis for electric drive system based on various electric machines were discussed in the published papers

Impact analysis and optimized control in renewable energy Integrated power network

This thesis quantifies the power quality impacts in hybrid renewable energy integrated power network and explores the voltage regulation method under various network conditions. This thesis also provides an optimized controller for DFIG to significantly ride through the symmetric and asymmetric faults meeting Australian grid code requirements. Thesis has extensive implications in terms of voltage improvement and LVRT enhancement in a grid tied renewable energy integrated power network

Dynamic and Transient Analysis of LVRT Augmented Grid Tied DFIG based Wind Turbine

This thesis aims to present Low Voltage Ride Through (LVRT) augmentation of the gridtied Doubly Fed Induction Generator (DFIG) based wind turbine. Voltage stability is a critical grid code criterion that must be strictly adhered. A substantial voltage drop happens during a fault or network disruption situation, which must be restored as quickly as possible. According to modern grid code standards, 90 percent of the voltage must be restored to pre-fault levels in 1500 milliseconds. As a result, both dynamic and transient assessments are performed to evaluate the intended power system's LVRT capabilities. In this study, fault analysis including the most severe 3LG fault under transient conditions has been examined in order to evaluate the tuned PI controller scheme and resilience of the developed power system model. PSCAD/EMTDC® v4.5 tool has been used extensively to develop the DFIG wind turbine aerodynamic model, DFIG control scheme and power system model analysis. Simulation results show that tuned Proportional Plus Integral (PI) controllers effectively augment the LVRT functionality by injecting sufficient reactive power into the grid during fault or network disturbance scenarios

Torque Control

This book is the result of inspirations and contributions from many researchers, a collection of 9 works, which are, in majority, focalised around the Direct Torque Control and may be comprised of three sections: different techniques for the control of asynchronous motors and double feed or double star induction machines, oriented approach of recent developments relating to the control of the Permanent Magnet Synchronous Motors, and special controller design and torque control of switched reluctance machine

Efficiency and Sustainability of the Distributed Renewable Hybrid Power Systems Based on the Energy Internet, Blockchain Technology and Smart Contracts-Volume II

The climate changes that are becoming visible today are a challenge for the global research community. In this context, renewable energy sources, fuel cell systems, and other energy generating sources must be optimally combined and connected to the grid system using advanced energy transaction methods. As this reprint presents the latest solutions in the implementation of fuel cell and renewable energy in mobile and stationary applications, such as hybrid and microgrid power systems based on the Energy Internet, Blockchain technology, and smart contracts, we hope that they will be of interest to readers working in the related fields mentioned above