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

机译:基于过程要求的自适应PWM可提高机床进给驱动器的效率

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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:机床的进给驱动器通常由级联PI控制器与脉宽调制(PWM)相结合来控制。根据最严格的性能和精度要求,配置驱动控制系统,通常需要高PWM频率。在提高控制带宽的同时,由于开关损耗,功率电子设备的能量效率和寿命显着降低。对由机床执行的生产过程的分析表明,仅在关键的过程状态下才必须满足要求。在制造最终表面时。在其他州,很多宽松的要求是可以接受的。因此,如果在每个系统状态下使用所需的最小PWM频率,则可以节省大量能量。为了利用这种未利用的潜力,决定频率的算法和允许在运行期间更改频率的控制系统是前提条件。提出的研究都解决了这两个问题。为了确定频率,提出了一种基于过程知识的算法。具有非恒定频率的控制回路的主要挑战是参数。提出了一种有效的方法来推导这些。通过实验验证了参数计算的有效性以及节能效果。

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