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年批准的项目的主题是工业重新配置的多运动驱动系统，即驱动系统，其中通过变速箱相互关联的几个感应电动机共享所需的功率。该项目是由Paderborn University的两个系进行的，以分析和建模电子技术和机械工程方面。在电力电子和电气驱动器部（LEA）执行的电学任务的研究工作中，出现了新的问题，这些问题将在为期一年的随访项目中进行处理。在上一个项目中，LEA在逆变器的第一个模型上开发了可控感应电动机的相电压，可以高精度估算。基于该电压估计以及感应电动机的许多非线性电磁效应的建模，得出了准确的扭矩和损耗估计的结构。其中包含的模型参数使用测试工作台上记录的测量数据脱机识别。该方法与热模型结合使用，并首次表明同时进行电热建模和离线识别为准确的扭矩控制和有效的操作策略提供了很高的潜力。以前项目的这些主要结果发表在几本会议和期刊论文中。到目前为止，电气和热的子模型仅略微耦合。在后续项目中，现在两个结构域都相对于进一步的重要方面进行了整合，例如对电机的饱和行为和电导体中皮肤效应的热影响，因此可以对感应电动机进行高度准确的扭矩和温度估计，从而利用该方法的全部电位。从这个多域模型中，下一步得出了一种自适应操作策略，以便能够以效率 - 最佳的方式在完整的操作范围内操作给定的电动机，并且对必要的控制硬件的需求仍然很低。在文献中，通常仅在扭矩控制或操作策略中考虑电动机的单个非线性，从而导致严重的不准确性或避免损失。后续项目的进一步点涉及用于优化离线识别测量数据采集的结构化程序，并详细评估可以在识别过程中分配单个测量变量（例如转子温度）的程度。