Evaluation of Influence of Carrier Harmonics of SPM Motor Based on Reluctance Network Analysis
Evaluation of Influence of Carrier Harmonics of SPM Motor Based on Reluctance Network Analysis
复制标题
基于磁阻网络分析的SPM电机载波谐波影响评估
DOI：
10.1541/ieejjia.3.304
复制
发表时间：
2014
影响因子：
1.7
通讯作者：
O. Ichinokura
中科院分区：
文献类型：
--
作者：
Y. Yoshida;K. Nakamura;O. Ichinokura
本文介绍了一种基于RNA的含载波谐波SPM电机损耗计算方法。图1显示了RNA模型的一部分和分析中使用的SPM马达的规格。空气中的每个元件差距在周向方向上被划分为1 μ m的间隔，并且磁体在径向方向上被划分为三个。定子齿尖分为三个区域，这些区域的磁阻与气隙磁阻直接相关。，，，，在两个载波频率条件下的相电流基波。为提高四轮驱动电动车的防滑性能，提出了一种基于滑移率估计的集成式防抱死制动控制系统。提出了一种新的再生制动防滑控制方法，并将其与液压防抱死制动系统（ABS）集成在一起。当与驱动电机的快速和准确的可控性相结合时，复合制动系统可以增强在滑移条件下的制动性能，与传统的ABS相比。建议的控制系统引入了一个电液串联制动系统的液压制动的独立控制，并恢复最大的动能。电动机的有效制动力矩取决于车辆的状态，包括电动机的转矩-速度和电池的荷电状态。制动力在前后轮之间的分配遵循理想的制动力分配曲线（I曲线），以确保摩擦力的利用和综合。本文提出了一种最佳d轴电流，以抑制由基本永久力引起的第二径向力。基于线性无关性，计算了θ e = 0 Deg.由dq轴电流引起的电流和由永磁体引起的电流由一系列矩形近似。永磁体在V相齿和W相齿上的倍频分布不均匀。因此，近似的勒克斯分布被分为两个区域。图1显示了FEA结果和近似模型。基于近似的高斯分布模型，在θ e = 0时，U相齿的径向力计算为，电气系统控制通常使用，因为可靠性是最近引起研究人员关注的问题。它的目标是开发新技术来设计更可靠的系统，这些系统可以在操作过程中正常工作而不会出现故障。冗余分配的主要目标是在降低成本、体积或重量的同时最大化系统的可用性。本文提出了一种新的元启发式方法--分布估计算法（EDA）来解决高安全控制系统的冗余分配问题（RAP）。RAP是一个串并联系统的最优配置问题，其目标是优化子系统i中部件j的数量，使得系统的可用性A（x）在C和的约束下对于决策变量x =[x1，x2，···，xs]最大化。在A（x）中，a如下：
This paper describes a method for calculating the losses of an SPM motor including carrier harmonics based on an RNA. Fig.1 shows a part of the RNA model and the specifications of the SPM motor used in the analysis. Each element in air the gap is divided into 1 ◦ intervals in the circumferential direction, and the magnets are divided into three in the radial direction. The stator tooth tip is divided into three regions, and the reluctances in these regions are directly connected with air gap reluctances. , , , phase current fundamental at both carrier frequency conditions. This paper proposes an integrated antilock braking control system based on estimating the wheel slip to improve the anti-slip performance of a four wheel drive in-wheel elective vehicle. A novel anti-slip control method for regenerative braking was developed and integrated with a hydraulic antilock braking system (ABS) using the logic threshold concept. When combined with the rapid and accu-rate controllability of driving motors, the composite brake system can enhance the brake performance under slip conditions compared to conventional ABS alone. The proposed control system introduces an electro-hydraulic series brake system for independent control of the hydraulic braking and to recover maximum kinetic energy. The available motor brake torque is determined by the vehicle status which includes the motor’s torque-speed and battery’s state of charge The brake force distribution between the and rear wheels follows the ideal brake force distribution curve (I-curve) to ensure usage of friction and an integrated the This paper proposes an optimal d -axis current to suppress the 2nd radial force, which is caused by the fundamental permanent flux. Based on linear independency, the flux distribution on the U-phase teeth at θ e = 0 Deg. caused by the dq -axis current and that caused by the permanent magnet are approximated by a series of rectan-gles. The flux distribution of the permanent magnet is not flat on the V- and W-phase teeth. Therefore, the approximate flux distribution is divided into two areas. Fig.1 shows the FEA result and the approximate model. Based on the approximate model of the flux distribution, the radial force of the U-phase teeth at θ e = 0 is calculated as and electrical system control conventionally uses the for Reliability is an issue that has recently captivated the attention of researchers. Its goal is to develop new techniques to design more reliable systems, which can function without failing during opera-tion. The principal objective of redundancy allocation is to maximize the availability of a system while reducing the cost, volume or weight. This paper proposes an Estimation-of-Distribution Algorithm (EDA) approach as a new meta-heuristic method to solve a redundancy allocation problem (RAP) for a high security control system. The RAP is an optimal configuration problem of a series-parallel system where the goal is to optimize the number of components j in subsystem i so that the availability A ( x ) of the system is maximized for the decision variable x = [ x 1 , x 2 , · ·· , x s under the constraints of C and . In A ( x ) is a as follows: