Analysis and Research on Mechanical Stress and Multiobjective Optimization of Synchronous Reluctance Motor

The mechanical strength of the synchronous reluctance motor(SynRM)has always been a great challenge.This paper presents an analysis method for assessing stress equivalence and magnetic bridge stress interaction,along with a multiobjective optimization approach.Considering the complex flux barrier structure and inevitable stress concentration at the bridge,the finite element model suitable for SynRM is established.Initially,a neural network structure with two inputs,one output,and three layers is established.Continuous functions are constructed to enhance accuracy.Additionally,the equivalent stress can be converted into a contour distribution of a three-dimensional stress graph.The contour line distribution illustrates the matching scheme for magnetic bridge lengths under equivalent stress.Moreover,the paper explores the analysis of magnetic bridge interaction stress.The optimization levels corresponding to the length of each magnetic bridge are defined,and each level is analyzed by the finite element method.The Taguchi method is used to determine the specific gravity of the stress source on each magnetic bridge.Based on this,a multiobjective optimization employing the Multiobjective Particle Swarm Optimization(MOPSO)technique is introduced.By taking the rotor magnetic bridge as the design parameter,ten optimization objectives including air-gap flux density,sinusoidal property,average torque,torque ripple,and mechanical stress are optimized.The relationship between the optimization objectives and the design parameters can be obtained based on the response surface method(RSM)to avoid too many experimental samples.The optimized model is compared with the initial model,and the optimized effect is verified.Finally,the temperature distribution of under rated working conditions is analyzed,providing support for addressing thermal stress as mentioned earlier.

Passive adaptive control of chaos in synchronous reluctance motor

The performance of synchronous reluctance motor （SynRM） degrades due to chaos when its systemic parameters fall into a certain area. To control the undesirable chaos in SynRM, a passive control law is presented in this paper, which transforms the chaotic SynRM into an equivalent passive system. It is proved that the equivalent system can be asymptotically stabilized at the set equilibrium point, namely, chaos in SynRM can be controlled. Moreover, in order to eliminate the influence of undeterministic parameters, an adaptive law is introduced into the designed controller. Computer simulation results show that the proposed controller is very effective and robust against the uncertainties in systemic parameters. The present study may help to maintain the secure operation of industrial servo drive system.

Torque Calculation of Five-Phase Synchronous Reluctance Motors With Shifted-Asymmetrical-Salient-Poles Under Saturation Condition

In traditional analytical method(AM),the magnetic saturation is always ignored to simplify the calculation process.However,synchronous reluctance motors(SynRMs)often operate around saturation point to achieve higher torque density.Therefore,a new AM is proposed,in which the saturation of stator iron has been considered.The key of the proposed method includes a saturation factor,and an iterative method is adopted to compute the saturation factor in the SynRM by increasing the air-gap length.Especially,the proposed AM can be applied to a SynRM even with shifted-asymmetrical-salient-poles.In the process of AM,the expression of stator magnetomotive force(MMF)is built firstly.Additionally,the air-gap density including slotting effect and salient-poles is calculated.Then,the rotor MMF under saturation of the stator iron is obtained.Therefore,the precision of the instantaneous torque can be improved significantly.Eventually,by the verification of finite elements method(FEM)and experiments,the torque performance of SynRMs with shifted asymmetrical rotor can be predicted accurately by the proposed AM.

Analysis of Permanent Magnet-assisted Synchronous Reluctance Motor Based on Equivalent Reluctance Network Model

In this paper,the equivalent reluctance network model(ERNM)is used to calculate the magnetic circuit of a permanent magnet-assisted synchronous reluctance motor(PMASynRM)and calculate no-load air-gap magnetic field and electromagnetic torque.Iteration method is used to solve the relative permeability of iron core.A novel reluctance network model based on actual distribution of the magnetic flux inside the motor is established.The magnetomotive force(MMF)generated by armature winding affects the relative permeability of iron core,which is considered in the calculation of ERNM to improve the accuracy when the motor is under load.ERNM can be used to measure air-gap flux density,no-load back electromotive force(EMF),the average value of motor torque,the armature winding voltage under load,and power factor.The method of calculating the motor performance is proposed.The results of calculation are consistent with finite element method(FEM)and the computational complexity is much less than that of the FEM.The results of ERNM has been verified,which will provide a simple method for motor design and analysis.

Artificial Monitoring of Eccentric Synchronous Reluctance Motors Using Neural Networks

This paper proposes an artificial neural network for monitoring and detecting the eccentric error of synchronous reluctance motors.Firstly,a 15 kWsynchronous reluctance motor is introduced and took as a case study to investigate the effects of eccentric rotor.Then,the equivalent magnetic circuits of the studied motor are analyzed and developed,in cases of dynamic eccentric rotor and static eccentric rotor condition,respectively.After that,the analytical equations of the studied motor are derived,in terms of its air-gap flux density,electromagnetic torque,and electromagnetic force,followed by the electromagnetic finite element analyses.Then,the modal analyses of the stator and the whole motor are performed,respectively,to explore the natural frequency and the modal shape of the motor,by which the further vibrational analysis is possible to be conducted.The vibration level of the housing is furtherly studied to investigate its relationship with the rotor eccentricity,which is validated by the prototype test.Furthermore,an artificial neural network,which has 3 layers,is proposed.By taking the air-gap flux density,the electromagnetic force,and the vibrational level as inputs,and taking the eccentric distance as output,the proposed neural network is trained till the error smaller than 5%.Therefore,this neural network is obtaining the input parameters of the tested motor,based on which it is automatically monitoring and reporting the eccentric error to the upper-level control center.

Permanent Magnet Assisted Synchronous Reluctance Motor with Asymmetric Rotor for High Torque Performance

Permanent magnet assisted synchronous reluctance motor(PMA-SynRM)is a kind of high torque density energy conversion device widely used in modern industry.In this paper,based on the basic topology of PMA-SynRM,a novel PMA-SynRM of asymmetric rotor with position-biased magnet is proposed.The asymmetric rotor design with position-biased magnet realizes the concentration of magnetic field lines in the motor air gap to obtain higher electromagnetic torque,and makes both of magnetic and reluctance torque obtain the peak value at the same current phase angle.The asymmetric rotor configuration is theoretically illustrated by space vector diagram,and the feasibility of high torque performance of the motor is verified.Through the finite element simulation,the effect of the side barrier on output torque and the Mises stress under the rotor asymmetrical design are analyzed.Then the motor characteristics including airgap flux density,back EMF,magnetic torque,reluctance torque,torque ripple,losses,and efficiency are calculated for both the basic and proposed PMA-SynRMs.The results show that the proposed PMA-SynRM has higher torque and efficiency than the basic topology.Moreover,the torque ripple of the proposed PMA-SynRM is reduced by the method with harmonic current injection,and the torque characteristics in the whole current cycle are analyzed.Finally,the endurance to avoid PM demagnetization is confirmed based on the PM remanence calculation.

Rotor Optimization for Synchronous Reluctance Motors

Rotor of Synchronous reluctance motor(SynRM)usually has multiple flux barrier structure for the purpose of higher electromagnetic torque and lower torque ripple.Two different strategies are used in this paper for rotor structure optimization and a compromised strategy for fully squeeze the potential of each related parameters is developed.Performance of resulted rotor structure is evaluated to verify the optimization procedure.

Position Sensorless Torque Estimation of Synchronous Reluctance Motors Based on Extended-Flux Model without Core-Loss Measurement

This paper proposes an extended-flux model with core-loss resistance of SynRMs （synchronous reluctance motors） and precise torque estimation without core-loss measurement and position encoder. The proposed torque estimation is useful for precise MTPA （maximum torque per ampere） control of position sensorless controlled SynRMs, which is achieved with the assistance of active and reactive powers.

Adaptive Gain Tuning Rule for Nonlinear Sliding-mode Speed Control of Encoderless Three-phase Permanent Magnet Assisted Synchronous Motor

In this paper, an adaptive gain tuning rule is designed for the nonlinear sliding mode speed control(NSMSC) in order to enhance the dynamic performance and the robustness of the permanent magnet assisted synchronous reluctance motor(PMa-Syn RM) with considering the parameter uncertainties. A nonlinear sliding surface whose parameters are altering with time is designed at first. The proposed NSMSC can minimize the settling time without any overshoot via utilizing a low damping ratio at starting along with a high damping ratio as the output approaches the target set-point. In addition, it eliminates the problem of the singularity with the upper bound of an uncertain term that is hard to be measured practically as well as ensures a rapid convergence in finite time, through employing a simple adaptation law. Moreover, for enhancing the system efficiency throughout the constant torque region, the control system utilizes the maximum torque per ampere technique. The nonlinear sliding surface stability is assured via employing Lyapunov stability theory. Furthermore, a simple sliding mode estimator is employed for estimating the system uncertainties. The stability analysis and the experimental results indicate the effectiveness along with feasibility of the proposed speed estimation and the NSMSC approach for a 1.1-k W PMa-Syn RM under different speed references, electrical and mechanical parameters disparities, and load disturbance conditions.

基于一阶线性自抗扰控制器的同步磁阻电机无速度传感器控制

同步磁阻电机在实现无速度传感器控制时出现交叉耦合效应,导致dq轴电感随着电流发生非线性变化,转速环使用传统PI控制器已无法满足系统较强的抗扰性能和较高的转子位置估计精度。为了改善此问题,该文提出一阶线性自抗扰控制器的同步磁阻电机无速度传感器控制策略,利用其机械运动状态方程,将同步磁阻电机的交叉耦合效应及负载扰动变化视为扰动。首先通过扩张状态观测器对负载扰动快速观测并进行前馈补偿,以此来提高系统抗扰性;其次利用静止实验法,得到dq轴磁链与电流的非线性函数模型,将该模型运用至磁链观测器中,以减小交叉耦合效应,提高转子位置估计精度;最后在1.5 kW的同步磁阻电机对拖加载实验平台上进行实验,验证了该控制方案的有效性。

基于静止轴系改进高频方波注入同步磁阻电机无传感器控制

同步磁阻电机因为其成本低、可靠性高,发展前景可观。在低速域无传感器控制方面,因同步磁阻电机转子具有凸极性,使用高频方波信号注入方法进行转子角度估计最为合适。但是,电机在低速运行中伴随着交直轴电感交叉饱和问题,该问题影响着电机的动稳态性能。为此,对传统高频方波注入控制方法进行改进,提出基于静止轴系的双高频方波注入无传感器控制方法,降低高频幅值带来的高频转矩脉动,抑制因交叉饱和效应导致的角度估计误差,提高电机动稳态性能。在1.5 kW同步磁阻电机实验平台上进行实验验证。结果表明,与传统高频注入法相比,改进高频注入法消除了交叉饱合引起的角度估计误差,并降低高频信号带来的转矩脉动问题,提高了电机的动稳态性能。

双三相同步磁阻电机单相开路故障下的容错控制策略

双三相同步磁阻电机(dual three-phase synchronous reluctance motor,DTP-SynRM)转子不含永磁体,没有高温退磁风险,成本较低,且由于其系统自由度高、冗余性强,因此具有较好的容错性能。开路故障是双三相同步磁阻电机系统中最常见的故障类型之一,该文针对一种两套三相绕组中性点相互独立的双三相同步磁阻电机单相开路故障,建立DTP-SynRM矢量空间解耦模型,实现对电压、电流和磁链方程的完全解耦。在开路故障状态下仍将其视为一个正常的双三相电机,分析故障状态对电机的电流约束和信号传递的影响,并指出在开路故障下z2轴电流与β轴电流不再独立,电机由正常运行时的四阶系统降阶为三阶系统,而由于开路故障导致的电压信号传递不准确则会在dq坐标系中引入二次谐波电流,并产生二次和四次转矩波动。该文提出一种同时考虑电流约束和信号传递误差的故障容错方法,电机处于三闭环运行状态,补偿电压信号传递误差,抑制开路故障时电机的转矩波动并降低电流谐波。搭建实验平台进行实验,验证所提容错方法的有效性和可行性。

基于磁链相移原理的不对称交替极永磁辅助同步磁阻电机设计与分析

传统永磁辅助同步磁阻电机(PMaSynRM)无法充分利用永磁转矩和磁阻转矩,该文提出一种新型不对称交替极永磁辅助同步磁阻电机(ACP-PMaSynRM)。基于永磁磁链相移原理,将交替极永磁阵列、不对称磁极和磁障相结合,实现永磁转矩和磁阻转矩的最大值在相同电流相位下叠加,不但提高了永磁转矩和磁阻转矩的利用率,增强了电机输出转矩能力,而且减少了永磁体用量。采用有限元法对比分析了传统和新型ACP-PMaSynRM的电磁性能,验证了所提电机拓扑的可行性。最后,制造了一台48槽14极样机并对其进行了实验验证。

基于六边形轨迹的永磁辅助式同步磁阻电机弱磁控制策略

永磁辅助式同步磁阻电机在高速工况弱磁运行时,直流母线电压利用率不高,电机的效率与转矩输出能力较低。为此,提出了一种基于六边形轨迹的永磁辅助式同步磁阻电机弱磁控制策略。首先,以永磁辅助式同步磁阻电机的d-q轴等效电路为基础,推导了弱磁过程的电压和电流约束,证明弱磁控制提升电机调速能力的根本原因。其次,为充分发挥永磁辅助式同步磁阻电机高速运行下功率密度较高的优势,进而推导过调制算法。并将其应用于永磁辅助式同步磁阻电机的弱磁操作中,以实现更高的直流母线电压利用率。最后,通过仿真验证所提出方法的有效性。

基于参数辨识的永磁辅助同步磁阻电机电流无差拍控制

针对永磁辅助同步磁阻电机电感参数失配引起传统无差拍预测电流控制器受扰动的问题,该文提出一种电感参数自适应的无差拍预测电流控制方案。所提算法利用模型参考自适应系统对电感参数进行在线辨识,并将辨识结果代替控制器中的原始电感模型参数,以确保控制器的模型参数和电机实际参数相匹配,进而增强无差拍预测电流控制系统的鲁棒性。根据永磁辅助同步磁阻的数学模型,对电机本体进行了建模,以实现对所提算法的仿真验证。最后在以TMS320F28335控制器为核心的实验平台上进行了实验验证。仿真和实验结果均表明,当电机参数与模型参数不匹配时,所提算法相较于传统的无差拍预测电流控制算法在电流波动峰峰值、电流跟踪静差及系统鲁棒性方面都有明显的改善。

永磁辅助同步磁阻电机优化设计及试验

永磁辅助同步磁阻电机具有高效率、高功率密度、低维护需求等优点,在电机的电磁设计时,由于涉及的参数变量较多,如磁通密度、线圈匝数、永磁材料的选择等,尤其是在追求最大化效率和输出功率的同时,还需要考虑到成本、物料的可获得性以及设计的可行性。该文基于永磁辅助同步磁阻电机基本工作原理及结构估算模型,以提高电机额定工况下运行效率为优化目标,采用田口法对电机相关参数进行优化设计,并对优化后的结果与原始方案进行对比。测试结果表明,与原始设计相比,优化后的电机在效率、温升控制和输出扭矩方面均有明显改进,尤其是在高负载条件下,优化电机展现出更稳定的性能和更高的能效。研究结果旨在通过采用先进的设计方法和试验验证,为永磁辅助同步磁阻电机性能的优化提供相关参考和建议。

基于超螺旋滑模自适应观测器的SynRM无传感器控制

针对同步磁阻电机模型参考自适应法的无传感器控制存在的转速估计精度低、动态性能差等问题,提出一种基于超螺旋滑模自适应观测器的无传感器控制方法。首先,通过有限元仿真构建同步磁阻电机电感非线性模型,根据电机不同运行工况实时更新电感参数,提高观测器中模型准确性。在此基础上,使用超螺旋滑模算法代替PI自适应环节,并结合所选取的线性补偿矩阵构造超螺旋滑模自适应观测器来减小估计误差。最后,引入积分型全局快速终端滑模速度控制器提高系统的动态性能。仿真与实验结果表明,相比于基于模型参考自适应法的无传感器系统,所提策略在启动阶段转速响应速度快且超调量小,电机运行更加平稳,突变负载时转速波动小且转速误差收敛速度更快,在变速运行整个阶段也具有更高的转速和转子位置辨识精度,具有良好的动稳态性能,可以实现电机的高性能运行。

真空干泵用永磁-磁阻复合式同步电机设计与分析

针对真空干泵用驱动电机在真空环境中转子散热难的问题,设计了一种混合励磁永磁-磁阻复合式同步电机。该电机转子永磁体励磁结构由钕铁硼与铁氧体两种磁体组成,旨在改变永磁体的排布方式,降低电机的损耗。首先,构建电机转子的拓扑结构,并设计两种方案来研究永磁体的排列方式对电机性能的影响;其次,分析转子参数对电机空载反电动势和电磁转矩的影响,并对电机转子的尺寸进行调整;然后,对比两种方案的损耗大小,选择损耗更低的电机方案;最后,通过有限元计算对目标电机进行了温度场分析,结果表明,所设计方案的电机温度分布合理,因此通过改变永磁体的排布方式能有效提升电机效率,降低电机损耗,确保电机稳定运行。

基于高频注入法的同步磁阻电机无位置传感器控制

同步磁阻电机是一种结构简单耐用、造价较低的特殊同步电机,近年来逐渐受到关注。将旋转高频电压注入法无位置传感器控制技术应用于同步磁阻电机,研究无带通滤波器同步磁阻电机位置辨识策略,以简化控制算法,降低位置辨识误差,减轻处理器的运算压力。同时在实验中,分奇偶周期分别注入基波电压和高频电压,以充分利用实验电源容量。在Matlab/Simulink环境下搭建仿真模型,同时搭建1.2 kW样机的硬件测试平台,仿真和实验结果都验证了简化的无位置传感器矢量控制算法的有效性和准确性。

同步磁阻电机交叉饱和特性参数辨识与建模

同步磁阻电机(Synchronous reluctance motor,SynRM)由于其独特的磁路结构,在运行过程中存在显著的交叉饱和效应,这给电机的精确控制和性能优化带来了挑战。本文针对由磁路自饱和及交叉饱和引起的同步磁阻电机参数非线性变化问题,提出了电机静止状态下的交叉饱和特性参数辨识方法和改进的数学模型建模方法。首先,通过离线静止辨识,获取电机在不同饱和状态下的特性数据;然后,利用神经网络及数值优化技术对数据进行拟合,得到SynRM在不同工作状态下的交叉饱和参数;最后,建立了考虑交叉饱和效应的改进数学模型,并通过与有限元仿真结果对比及仿真验证了该模型的准确性和有效性。