This paper reviews the current state of the double-stator PERMANENT MAGNET vernier (DS-PMV) MACHINE technology. At first, the recent advances in PMV MACHINEs are presented. In the following, the classification of various PMV MACHINEs' configuration is elucidated. In general, this review covers the principle of better understanding of the novel PMV MACHINEs' topologies using different windings configurations, flux modulation poles and stator/rotor structures.

PERMANENT MAGNETs (PM), which are one of the most vulnerable and important components of PERMANENT MAGNET MACHINEs, are at risk of deMAGNETization for reasons such as overheating and corrosion. One of the most critical tasks of engineers in the industry is to prevent the MACHINE's operation in the deMAGNETization condition and replace the MACHINE's defective PMs as much as possible. DeMAGNETization causes linkage flux reduction, electroMAGNETic force changes, and MACHINE heating. This paper presents a new approach for deMAGNETized PM diagnosis in a PERMANENT MAGNET linear synchronous MACHINE using wavelet packet transform. Due to the high sensitivity to the flux changes, the electromotive force signal was selected as a detection signal. By examining this method in different deMAGNETization cases, it is determined that this method has a proper performance. In this paper, the finite element software (Maxwell) and MATLAB were used to simulate the MACHINE and analyze the data, respectively.

Today, due to the limited supply and rapid consumption of fossil fuels, transitioning towards renewable energy supplies has become more important than ever. . The purpose of this paper is to present a new linear PERMANENT MAGNET vernier MACHINE structure which is designed to capture wave energy and improve the performance of the prototype vernier MACHINE. By halving the proposed vernier MACHINE, amending gear ratio and changing the shape of PERMANENT MAGNET (PM) and teeth, the performance of the proposed vernier MACHINE increases compared to the prototype vernier MACHINE. This novelty causes the proposed vernier MACHINE to be lighter, more economical and more efficient than the prototype vernier MACHINE. Moreover, the main parameters of the proposed vernier MACHINE compared to the prototype vernier MACHINE are improved, so that in the proposed vernier MACHINE, induced voltage, PM flux and thrust force are increased by 30, 68 and 27% respectively. In addition, the ripple of thrust force is reduced by 5%, and the self-inductance is diminished by 55%. All analyses have been performed in the same conditions with the finite element method using Ansys Maxwell software.

In this paper, modeling and analysis of a linear primary PERMANENT MAGNET vernier MACHINE (LPPV) is presented. The novelty of the proposed MACHINE is implemented by improvement of the primary structure. Since both armature windings and PERMANENT MAGNET (PM) arrays are located on primary of the MACHINE, this type of vernier MACHINEs are classified as flux reversal MACHINEs. Vernier effect and flux reversal operation lead to high force density in the MACHINE. The simple structure of the MACHINE translator is suitable for MACHINEs with a longdistance rail. Firstly, the operation principle and geometric structure of the MACHINE is presented. Then, the 2D time stepping finite element method (TS-FEM) is utilized for performance evaluation of the MACHINE. Finally, the quality of the no-load flux linkage, the no-load electro motive force (EMF), the thrust and normal forces, the self and mutual inductances and the output power of the MACHINE at loading conditions are discussed and analyzed.

Today, the importance of using vernier MACHINEs in wave energy converters has increased because of its simple structure and ability to generate a lot of thrust force at low speeds due to the MAGNETic gear effect. The linear vernier PERMANENT MAGNET MACHINE has been designed in various structures. Proper design and selection of the main parameters of the MACHINE will improve performance and increase the efficiency of the linear vernier MACHINE. One of these parameters is the shape of the PERMANENT MAGNETs and how they are MAGNETically oriented. The novelty of this paper is the reduction of leakage flux, achieved by changing the shape and orientation of the PERMANENT MAGNET. Three types of linear PERMANENT MAGNET vernier MACHINEs with different PERMANENT MAGNET structures and orientation, including V-shape, Halbach array and consequent-pole are presented.  The considered MACHINEs have been compared to each other and to the existing MACHINE in terms of airgap flux density, back EMF, PM flux, Inductance, thrust force, detent force, loss, efficiency, power factor, flux density and flux line, using the finite element method in the same conditions and with the same volume of PERMANENT MAGNETs. The results show that the MAGNETic orientation and shape of the PERMANENT MAGNET have a considerable effect on the leakage flux, and all the proposed models have a lower leakage flux and better performance compared to the existing model.

Dc excitation of the field winding in a synchronous MACHINE can be provided by PERMANENT MAGNETs. PERMANENT MAGNET synchronous MACHINE (PMSM) can offer simpler construction, lower weight and size for the same performance, with reduced losses and higher efficiency. Thanks to the mentioned advantages these motors are widely used in different application, therefore analysis and modeling of them is very important. In this paper a new, fast and simple method is presented to study performance of a PMSM connected to the converter. For this purpose, average-value modeling and related analytical relations which leads to the desired characteristics such as electroMAGNETic torque, dc current and dc voltage is presented and applied to PMSM & converter system. The advantage of this model lies in reduction of computation time compares to the other dynamic models while keeping accuracy quite acceptable. This model is applicable for studying the steady-state performance of systems as well as dynamic performance.      

PERMANENT MAGNET Synchronous MACHINEs (PMSM) are increasingly used because of their advantages over other MACHINEs, which include compactness, high efficiency, and well developed drives.. The substitution of the position sensors by advanced algorithms embedded in the controls hardware and software has been investigated for the last couple of decades. This Paper presents the modeling, analysis, design and experimental validation of a robust sensor less control method for PMSM based on Extended Kalman Filter. The position/speed sensor less control scheme along with the power electronic circuitry is modeled. The performance of the proposed control is assessed and verified for different types of dynamic and static torque loads.

In this paper, the optimal design of a non-slotted AF (Axial Flux) motor is presented using sizing equations, IPSO (Improve Particle Swarm Optimization) algorithm and Finite Element software. IPSO optimization method reduces the evaluation time of the motor design, because of parallel evaluation. This reduction of time is relevant to number of the CPUs. The optimization objective is to achieve an almost sinusoidal Back EMF (Electromotive force), minimizing MAGNET weight and maximizing efficiency. In order to precise calculation of the MAGNET thickness, a new equation is presented. In the first step the design optimization parameters such as number of pole, the air gap, and electrical loading is specified by IPSO to satisfy design objectives. The motor designed by sizing equations and IPSO, is evaluated with the help of Finite Element method to verify the accuracy of the obtained results.