Sensorless Control of Permanent Magnet Synchronous Machines based on oversampling, FPGA based aquisition of measured currents - II

基于过采样、基于 FPGA 的测量电流采集的永磁同步电机无传感器控制 - II

• 批准号: 329209868
• 负责人: Professor Dr.-Ing. Axel Mertens
• 金额: --
• 依托单位: Institut für Antriebssysteme und Leistungselektronik
• 依托单位国家: 德国
• 项目类别: Research Grants
• 资助国家: 德国
• 项目状态: 未结题
• 来源: https://gepris.dfg.de/gepris/projekt/329209868?language=en
• 关键词: Sensorless; Control; Permanent; Magnet; Synchronous

In the previous project, an encoderless, highly dynamic position and speed estimation for PMSM in the lower speed range including standstill was found and investigated, which allows a very good accuracy of the position estimation in the closed speed control loop and can also compensate for load torque changes in a highly dynamic manner. Only the inductance matrix of the machine is required for this. In contrast to most existing methods, the new method can also be parameterized analytically and does not require a large computational effort. The basis is an oversampling of the measured currents at a rate of approx. 106/s, which allows a precise analysis of the current waveforms over the duration of a PWM period. From this, the gradients of the currents, and thus the rate of change in flux, can be determined and compared with expected values based on the applied voltages. From the analytically available error function, a gradient can be determined according to the desired variable and calculated online with little effort. An online optimization of the error function in the manner of a gradient descent leads to the desired rotor position and speed within a sampling time. So far, however, this new approach could only be investigated with a small machine with surface magnets and almost linear behavior. In the follow-up project, an extension to heavily saturating machines is pursued, such as those typically used for higher power levels, e.g. in the field of traction. In such machines, saturation effects lead to operating ranges with vanishing or reversing anisotropies. In our own preparatory work, the procedure developed shows the potential of being able to operate within these areas when the mutual inductances are included in the models. Therefore, in the follow-up project, the developed procedure shall be extended for use with a higher-power machine with buried magnets, including operation in the regions with vanishing or reversed anisotropy. Side effects, such as currents distorted by eddy current effects or by long motor cables, must also be addressed. For an application in industrial drives, the current-dependent inductance matrix should also be able to be determined fully automatically and without a position sensor. Finally, the resulting procedure should be compared systematically with other processes according to the state of research in order to classify it in the existing body of knowledge.

在上一个项目中，发现和研究了较低速度范围内PMSM的无编码，高度动态的位置和速度估计，该项目已被发现和研究，这允许在封闭速度控制环中的位置估计非常准确，并且还可以以高动态的方式补偿负载扭矩变化。仅需要机器的电感矩阵。与大多数现有方法相反，新方法也可以在分析上进行参数化，并且不需要大量的计算工作。基础是测量电流的过采样，速度约为。 106/s，可以精确地分析PWM期间的当前波形。由此，可以根据施加的电压确定电流的梯度，因此可以确定并与预期值进行比较。从分析可用的错误函数中，可以根据所需的变量确定梯度，并在线计算，几乎没有努力。以梯度下降方式对误差函数的在线优化导致所需的转子位置和速度在采样时间内。但是，到目前为止，只能使用具有表面磁铁和几乎线性行为的小型机器来研究这种新方法。在后续项目中，追求了饱和机器的扩展，例如通常用于更高功率水平的机器，例如在牵引力领域。在这样的机器中，饱和效应会导致运行范围消失或逆转各向异性。在我们自己的准备工作中，开发的程序表明，在模型中包括相互电感时能够在这些领域内运行的潜力。因此，在后续项目中，应将开发的程序扩展到具有埋藏磁铁的高功率机，包括在消失或反转各向异性的地区操作。还必须解决副作用，例如因涡流效应或长电机电缆而扭曲的电流。对于在工业驱动器中的应用，还应完全自动确定当前依赖性电感矩阵，而无需位置传感器。最后，应根据研究状态系统地比较结果的过程，以便将其分类为现有的知识体系。