首页> 外文会议>International Exhibition and Conference for Power Electronics, Intelligent Motion, Renewable Energy and Energy Management >Process requirements-based adaptive PWM for improved efficiency of machine tool feed drives
【24h】

Process requirements-based adaptive PWM for improved efficiency of machine tool feed drives

机译:基于处理的自适应PWM,用于提高机床馈电驱动器的效率

获取原文

摘要

Feed drives of machine tools are usually controlled by cascaded PI controllers combined with Pulse Width Modulation (PWM). Based on the strictest performance and accuracy requirements, the drive control system is configured, often necessitating a high PWM-frequency. While improving the control bandwidth, the energy efficiency and lifetime of the power electronic decrease significantly due to switching losses. Analyzing the production process performed by the machine tools reveals that the requirements must only be met in critical process states, e.g. when the final surface is manufactured. Much laxer requirements are acceptable in other states. Therefore, a significant amount of energy could be saved if the minimal required PWM frequency would be used in each system state. To exploit this unused potential, an algorithm deciding on the frequency and a control system allowing to change the frequency during runtime are prerequisites. Both are addressed by the presented research. To decide on the frequency, an algorithm based on process knowledge is proposed. The key challenge of a control loop with a non-constant frequency are the parameters. An efficient way to derive these is presented. The validity of the parameter calculation as well as the energy savings are experimentally validated.
机译:机床的馈电驱动器通常由级联PI控制器控制,与脉冲宽度调制(PWM)相结合。基于最严格的性能和准确性要求,配置驱动控制系统,通常需要高pWM频率。虽然改善控制带宽,但由于切换损耗,电力电子的能量效率和寿命显着降低。通过机床执行的生产过程揭示了必须在关键过程中满足要求,例如,必须在关键过程中满足。当最终表面制造时。在其他州可以接受大量的摇晃者要求。因此,如果在每个系统状态下使用最小所需的PWM频率,则可以保存大量能量。为了利用这种未使用的电位,确定频率和控制系统允许在运行时更改频率的算法是先决条件。两者都是由提出的研究解决的。要决定频率,提出了一种基于过程知识的算法。控制循环具有非恒定频率的关键挑战是参数。提出了一种有效的推导出来的方法。实验验证了参数计算的有效性以及节能。

著录项

相似文献

  • 外文文献
  • 中文文献
  • 专利
获取原文

客服邮箱:kefu@zhangqiaokeyan.com

京公网安备:11010802029741号 ICP备案号:京ICP备15016152号-6 六维联合信息科技 (北京) 有限公司©版权所有
  • 客服微信

  • 服务号