Holistic modelling, control configuration, and design systematics for locally concentrated Multi-Motor Drive Systems - Follow-up application

局部集中多电机驱动系统的整体建模、控制配置和设计系统 - 后续应用

• 批准号: 389029890
• 负责人: Professor Dr.-Ing. Joachim Böcker
• 金额: --
• 依托单位: Fachgebiet Leistungselektronik und Elektrische Antriebstechnik (LEA)
• 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/389029890?language=en
• 关键词: Holistic; modelling; control; configuration; design

The subject of the project approved in 2017 were industrial reconfigurable multi-motor drive systems, i.e., drive systems in which several induction motors interconnected via a gearbox share the required power. The project was conducted by two departments of the Paderborn University in order to analyze and model both the electrotechnical and the mechanical engineering aspects. During the research work on the electrotechnical tasks, performed by the department of Power Electronics and Electrical Drives (LEA), new questions arose which are to be treated within a one-year follow-up project. In the previous project, LEA developed at first models of the inverter with which the phase voltages of a controlled induction motor can be estimated with high accuracy. Based on this voltage estimation and the modeling of numerous nonlinear electromagnetic effects of an induction motor, a structure for accurate torque and loss estimation was derived. The model parameters contained therein are identified offline using measurement data recorded on the test bench. This method was combined with a thermal model and it was shown for the first time that simultaneous electrical-thermal modeling and offline identification offers high potential for both accurate torque control and efficient operating strategy. These main results of the previous project were published in several conference and journal papers. So far, the electrical and thermal submodels were only slightly coupled. In the follow-up project, both domains are now integrated with respect to further important aspects such as the thermal influence on the saturation behavior of the motor and on the skin effect in the electrical conductors so that a highly accurate torque and temperature estimation of an induction motor is possible, thus exploiting the full potential of the approach. From this multi-domain model, an adaptive operating strategy is derived in the next step, in order to be able to operate a given motor in the complete operating range in an efficiency-optimal way and still with low demands on the necessary control hardware. In the literature, usually only individual nonlinearities of the motor are considered in the torque control or in the operating strategy, resulting in significant inaccuracies or avoidable losses. Further points of the follow-up project concern the structured procedure for optimized measurement data acquisition for offline identification and a detailed evaluation of the extent to which individual measurement variables (e.g. rotor temperature) can be dispensed with during identification.

2017年批准的项目主题是工业可重构多电机驱动系统，即通过变速箱相互连接的多台感应电机共享所需功率的驱动系统。该项目是由帕德伯恩大学的两个系进行的，目的是对电工和机械工程方面进行分析和建模。在电力电子和电气驱动(LEA)部门对电工任务进行的研究工作中，出现了新的问题，这些问题将在一年的后续项目中得到处理。在先前的项目中，LEA首先开发了逆变器模型，利用该模型可以高精度地估计受控感应电机的相电压。在此电压估计的基础上，通过对感应电机的大量非线性电磁效应的建模，得到了一种精确估计转矩和损耗的结构。使用测试台上记录的测量数据离线识别其中包含的模型参数。该方法与热力模型相结合，首次表明电热建模和离线辨识在精确的转矩控制和高效的运行策略方面具有很大的潜力。前一个项目的这些主要成果发表在几篇会议和期刊论文上。到目前为止，电学和热学的子模型只有轻微的耦合。在后续项目中，这两个领域现在在更重要的方面进行了整合，例如对电机饱和行为的热影响和对导体集肤效应的影响，从而使感应电机的高精度扭矩和温度估计成为可能，从而充分发挥该方法的潜力。在此多域模型的基础上，在下一步推导出一种自适应运行策略，以便能够在对必要的控制硬件要求较低的情况下，以效率最优的方式在整个运行范围内运行给定的电机。在文献中，通常只在转矩控制或操作策略中考虑电机的单个非线性，导致显著的误差或可避免的损失。后续项目的另一些要点涉及为离线识别优化测量数据获取的结构化程序，以及在识别过程中可以省去单个测量变量(例如转子温度)的程度的详细评估。