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 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.

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 sub-region method is used to analyze the outer-rotor permanent MAGNET SYNCHRONOUS MACHINE. In this method, based on hypotheses such as geometry, electrical and MAGNETic characteristics, the MACHINE is divided into four sub-regions of groove, groove opening, air gap and MAGNET. Based on Maxwell's equations and considered assumptions, the governing partial differential equations for each sub-region are presented and solved analytically. In this paper, after calculating the air-gap flux density caused by the armature winding current and MAGNETs with three patterns of radial, parallel and Halbach MAGNETization, the other main quantities of the MACHINE are calculated accordingly. To validate the analytical model, the results obtained from MATLAB software are compared with the values obtained from the finite element method.

Nowadays, permanent MAGNET SYNCHRONOUS motors have been widely used in industry due to the elimination of excitation losses, longer life and higher efficiency. Errors in engine and drive systems are unavoidable during operation. Therefore, a suitable scenario should be considered for when these systems fail. If the necessary predictions and control algorithms are not considered for the error conditions, heavy damages will be imposed on equipment and devices, especially at high power levels. One of the common control methods in inverters and SYNCHRONOUS motor drives is the proportional-integral control method. In most cases, simple proportional-integral control with fixed interest rates is used. In this paper, fuzzy logic with suitable membership functions is used to adaptively and intelligently determine the benefits of proportional-integral controller to control the speed of the permanent MAGNET SYNCHRONOUS motor in the event of an error. By combining fuzzy logic and gray wolf algorithm to achieve the optimal controller, a method is presented that takes advantage of the fuzzy controller along with the proportional-integral controller and using the gray wolf algorithm for optimization. Reconstruction results in optimal and stable control under various fault conditions. The proportional-integral controller interests used in conjunction with the gray wolf algorithm for speed control are determined using fuzzy logic for error conditions. In this paper, the proposed method in MATLAB software Simulink environment is simulated in two stages, once for step changes of reference speed and torque and once under three types of errors, and the results show improved reference speed tracking and reduction Distortion of three-phase currents and torque fluctuations.

The compound-structure permanent-MAGNET SYNCHRONOUS MACHINE (CS-(PMSM)) system is a novel drive system used for hybrid electric vehicles (HEVs). In this paper, firstly, the mathematical model of the CS-(PMSM) motor is examined in detail, and then the control strategy of the CS-(PMSM) is investigated and established. The CS-(PMSM) is composed of two permanent MAGNET SYNCHRONOUS motors: a Double Rotor MACHINE (DRM) and a Stator MACHINE (SM). Different control strategies are applied for the two MACHINEs. According to their special structures and applications, the DRM performs the torque control, and the SM carries out the speed control. The DRM implements the id=0 control, while the SM carries out the maximum torque per ampere control during the constant torque region, and flux weakening control during the constant power region. Secondly, the direct torque control method is investigated and applied for both MACHINEs. The feasibilities of the vector control and direct torque control methods are both validated by the simulation results in the MATLAB/SIMULINK, and these two methods are further compared. The optimum control methods are finally established for the DRM and SM and also the selection of the optimal number of turns for the stator is considered.

Permanent MAGNET SYNCHRONOUS motors ((PMSM)s) are used in many applications including the control systems due to their high efficiency, high power density, good dynamic behavior, high precision and excellent controllability. One of the (PMSM) problems is the cogging torque which is made by interaction between PMs and stator teeth. This leads to some noise and vibration of the motor that in control applications leads to fluctuation of the motor from its trajectory when tracking the target point. Hence, the motor should be designed in such a way to have very low cogging torque. In this research to reach this purpose, at first a suitable combination of slot/pole has been selected for the motor. Then, the optimum shape of the MAGNET has been obtained by using 2D finite element method. For the MAGNET shape, two important parameters of the MAGNET are optimized simultaneously. The designed motor has been fabricated and tested. The experimental results validate the simulation results and show that by the presented design the motor has very low cogging torque.