微特电机 ›› 2023, Vol. 51 ›› Issue (6): 40-44.

• 驱动控制 • 上一篇    下一篇

一种同步伺服控制器电磁兼容总体优化设计方法

段卓琳, 蒋雨菲, 杨金波, 王伟洋, 廖吉春, 徐晓龙, 高培林   

  1. 北京航天发射技术研究所,北京 100076
  • 收稿日期:2023-05-06 出版日期:2023-06-28 发布日期:2023-06-27
  • 作者简介:段卓琳(1990—),女,博士,主要从事电机驱动系统研究。

A Electromagnetic Compatibility Optimization Overall Design Method of Synchronous Servo Controller

DUAN Zhuolin, JIANG Yufei, YANG Jinbo, WANG Weiyang, LIAO Jichun, XU Xiaolong, GAO Peilin   

  1. Beijing Institute of Space Launch Technology,Beijing 100076, China
  • Received:2023-05-06 Online:2023-06-28 Published:2023-06-27

摘要: 为解决同步伺服控制器对外电磁干扰发射水平超标及内部电磁兼容性问题,介绍一种电磁兼容总体优化方法。在控制器内部有限空间内,通过合理设计分腔屏蔽结构及布局、合理接地等硬件方法,避免因交直流供电线间耦合导致的交流输入滤波失效,形成强干扰发射等问题,并最大限度形成屏蔽,隔离内外部干扰。通过定时监控、数据多址存取、信号多冗余度采集及滤波等软件方法,提高了控制器抗扰性能。测试结果表明,优化设计后的样机能够满足GJB 151B—2013的要求。该方法在设计阶段提升了产品电磁兼容性,降低了研制周期及成本。

关键词: 同步伺服控制器, 电磁兼容, 优化设计

Abstract: To solve the problems of interference emission level exceeding the standard and internal EMC in the synchronous servo controller, an electromagnetic compatibility (EMC) capacity optimization overall design method was introduced. In the limited space of the controller room, through reasonable design of the sub-cavity shielding structure and layout, reasonable grounding design and other hardware methods,the AC input filter failure caused by line coupling of AC and DC power supply was avoide,the strong interference emission and other issues were formed,and the formation of shielding was maximized,the internal and external interference were isolated.The anti-disturbance performance of the controller was improved by means of software methods, such as timing monitoring, data multiple address access, and signal multiple-redundancy acquisition and filtering.The test results show that,the prototype can meet the requirements of standard GJB 151B—2013 by using the EMC capacity optimization method.The method improves the EMC of the products in the design phase, and reduces the development cycle and cost.

Key words: synchronous servo controller, electromagnetic compatibility (EMC), optimization design

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