• 主题
高级搜索  >
历史搜索 清空历史
首页> 外文OA文献 >A novel iterative learning control method and control system design for active magnetic bearing rotor imbalance of primary helium circulator in high-temperature gas-cooled reactor
【2h】

A novel iterative learning control method and control system design for active magnetic bearing rotor imbalance of primary helium circulator in high-temperature gas-cooled reactor

机译：高温气体冷却反应器主氦循环器的主动磁轴承转子失衡的新型迭代学习控制方法和控制系统设计

代理获取
本网站仅为用户提供外文OA文献查询和代理获取服务，本网站没有原文。下单后我们将采用程序或人工为您竭诚获取高质量的原文，但由于OA文献来源多样且变更频繁，仍可能出现获取不到、文献不完整或与标题不符等情况，如果获取不到我们将提供退款服务。请知悉。
页面导航
  • 摘要
  • 著录项
  • 相似文献
  • 相关主题

摘要

As one of the key technologies of high-temperature gas-cooled reactor, primary helium circulator–equipped active magnetic bearing provides driving force for primary helium cooling system. However, repetitive periodic vibration produced by rotor imbalance may introduce risks to primary helium circulator (even for high-temperature gas-cooled reactors). First, this article analyzes a periodic component extraction algorithm which is widely used in active magnetic bearing rotor unbalance control methods and points out the problem that the periodic component extraction algorithm occupies numerous computing resources which cannot satisfy the real-time request of active magnetic bearing control system. Then, a novel iterative learning control algorithm based on the iteration before last iteration of system information (iterative learning control-2) and a plug-in parallel control mechanism based on the existing control system are put forward, meanwhile, an integrated independent distributed active magnetic bearing control system is designed to solve the problem. Finally, both the simulation and experiment are carried out, respectively. The corresponding results show that the control method and control system proposed in this article have significant suppression effect on the repetitive periodic vibration of the active magnetic bearing system without degrading the real-time requirement and can provide important technical support for the safe and stable operation of the primary helium circulator in high-temperature gas-cooled reactor.
机译：作为高温气体冷却反应堆的关键技术之一，配备初级氦循环的主动磁轴承为初级氦冷却系统提供驱动力。然而，通过转子不平衡产生的重复的周期性振动可能将风险引入初级氦循环器（即使是高温气体冷却反应器）。首先，本文分析了一种周期性组件提取算法，该算法广泛用于主动磁轴承转子不平衡控制方法，并指出周期性分量提取算法占用无数计算资源的问题，该资源不能满足有源磁轴承控制的实时请求系统。然后，提出了一种基于系统信息（迭代学习控制-2）的最后一次迭代之前的迭代的新型迭代学习控制算法和基于现有控制系统的插件并行控制机制，同时，一个集成独立的分布式活动磁性轴承控制系统旨在解决问题。最后，分别进行仿真和实验。相应的结果表明，本文提出的控制方法和控制系统对主动磁性轴承系统的重复周期性振动具有显着的抑制效果，而不会降低实时要求，可以为安全和稳定运行提供重要的技术支持高温气体冷却反应器中的初级氦循环器。

著录项

相似文献

  • 外文文献
  • 中文文献
  • 专利
代理获取

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