Self-optimizing and model-adaptive control of electrical drive systems with predictive planning of pulse patterns
通过脉冲模式的预测规划对电力驱动系统进行自优化和模型自适应控制
基本信息
- 批准号:405351394
- 负责人:
- 金额:--
- 依托单位:
- 依托单位国家:德国
- 项目类别:Research Grants
- 财政年份:2018
- 资助国家:德国
- 起止时间:2017-12-31 至 2022-12-31
- 项目状态:已结题
- 来源:
- 关键词:
项目摘要
Electric drives are used in many purposes, e.g. in automated production lines, power plants, centrifuges, hoists and cranes as well as in road and rail vehicles. Meanwhile, most drives are operated in a controlled fashion where, besides the primary control objective as e.g. the speed, further aspects as minimization of power losses or wear play a role. In the past decades, great research efforts have been made dedicated to issues e.g. of control strategies, modulation and identification methods. Most approaches, however, are focusing on isolated problems or specific applications. A generalizable drive or control concept, which independently configures itself to the respective application-specific requirements and adapts continuously, does not exist.This proposal presents a concept of a multi-level control and operational management for electric drives which is based on the principle of self-optimization. The concept focuses on permanent-magnet synchronous motors with 2-level inverters. However, its modular structure allows to be extended to other configurations with low effort (e.g. induction motors or multi-level inverters). The concept is subdivided into three levels. At the lowest level, the classic control for currents, torque, speed and position is allocated. The parameters of this control are continuously adapted by a superimposed optimization level which makes use of electrical, thermal and mechanical models in order to predict the drive behavior and to intervene in the subordinate control level in case of need. The top level includes functions of self-optimization and adaptation. The latter examines the residuals between model estimation and measurements within the subordinate layer and matches at runtime, i.e. both during commissioning and over the entire drive life, the model parameters. Additionally, by means of self-optimization, the optimization goals are dynamically adjusted due to changing external or internal conditions. In that way it will be ensured that the control concept can be applied for a wide range of applications without manual adjustment.After simulative studies, the proposed control concept will be validated on several test benches for three exemplary applications: 1st: traction drive (rail and road vehicles), 2nd: high-speed continuous drives (pumps, fans, etc.), and 3rd: servo drives (e.g. machine tools). As the validation scenarios include very different requirement profiles, the generalizability of the proposed concept should be demonstrated. After successful completion of the project, the transfer to further drive configurations is planned.
电力驱动用于许多用途,例如自动化生产线,发电厂,离心机,起重机和起重机以及公路和轨道车辆。同时,大多数驱动器都以受控方式操作,其中除了主要控制目标(例如速度)外,其他方面(例如功率损失或磨损的最小化)也起作用。在过去的几十年里,人们对控制策略、调制和识别方法等问题进行了大量的研究。然而,大多数方法关注的是孤立的问题或特定的应用。不存在一种可通用的驱动或控制概念,它可以独立地配置自身以适应各自的特定应用程序需求并不断进行调整。提出了一种基于自优化原理的电力传动多级控制和运行管理的概念。该概念侧重于具有2级逆变器的永磁同步电机。然而,其模块化结构允许扩展到其他配置与低努力(例如感应电机或多级逆变器)。这个概念被细分为三个层次。在最低水平,经典的控制电流,转矩,速度和位置被分配。该控制的参数通过一个叠加优化层不断调整,该优化层利用电、热和机械模型来预测驱动行为,并在需要时干预下级控制层。顶层包括自优化和自适应功能。后者检查下级层中模型估计和测量之间的残差,并在运行时匹配,即在调试期间和整个驱动寿命期间,模型参数。另外,通过自优化,可以根据外部或内部条件的变化动态调整优化目标。这样,就可以确保控制概念可以适用于广泛的应用,而无需手动调整。经过模拟研究,提出的控制概念将在三个示例应用的几个试验台上进行验证:第一:牵引驱动(铁路和公路车辆),第二:高速连续驱动(泵,风扇等),第三:伺服驱动(例如机床)。由于验证场景包括非常不同的需求概要,因此应该演示所提议概念的泛化性。在项目成功完成后,计划转移到进一步的驱动器配置。
项目成果
期刊论文数量(0)
专著数量(0)
科研奖励数量(0)
会议论文数量(0)
专利数量(0)
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Professor Dr.-Ing. Joachim Böcker其他文献
Professor Dr.-Ing. Joachim Böcker的其他文献
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{{ truncateString('Professor Dr.-Ing. Joachim Böcker', 18)}}的其他基金
Single-stage charging rectifier based on a LLC resonant converter
基于 LLC 谐振转换器的单级充电整流器
- 批准号:
394222435 - 财政年份:2018
- 资助金额:
-- - 项目类别:
Research Grants
Investigation of artificial neural networks for estimating important component temperatures in electric motors
研究用于估计电动机重要部件温度的人工神经网络
- 批准号:
388765580 - 财政年份:2017
- 资助金额:
-- - 项目类别:
Research Grants
Model Predictive Direct Torque Control of Permanent Magnet Synchronous Motors
永磁同步电机模型预测直接转矩控制
- 批准号:
316493223 - 财政年份:2016
- 资助金额:
-- - 项目类别:
Research Grants
Modular High-Current Variable-Voltage Rectifiers
模块化大电流变压整流器
- 批准号:
314461654 - 财政年份:2016
- 资助金额:
-- - 项目类别:
Research Grants
Control method for multi-phase cyclo converters
多相环路变换器的控制方法
- 批准号:
245152336 - 财政年份:2013
- 资助金额:
-- - 项目类别:
Research Grants
Rekonfigurierbare Systeme zur Steigerung der Regelungsperformanz und Fehlertoleranz von frequenzvariablen Antrieben
可重新配置的系统可提高变频驱动器的控制性能和容错能力
- 批准号:
173079485 - 财政年份:2010
- 资助金额:
-- - 项目类别:
Research Grants
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 - 财政年份:
- 资助金额:
-- - 项目类别:
Research Grants
Magnetic components for Power Electronics Operated in the Megahertz Range Using the Example of an LLC Converter
以 LLC 转换器为例,用于兆赫范围内运行的电力电子器件的磁性元件
- 批准号:
467840481 - 财政年份:
- 资助金额:
-- - 项目类别:
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