...
  • 主题
高级搜索  >
历史搜索 清空历史
首页> 外文期刊>Electric Power Components and Systems >Position Control of Ultrasonic Motors Using Dead-Zone Compensation with Fuzzy Neural Network
【24h】

Position Control of Ultrasonic Motors Using Dead-Zone Compensation with Fuzzy Neural Network

机译：基于模糊神经网络的死区补偿的超声波电动机位置控制

获取原文
获取原文并翻译 | 示例
           
页面导航
  • 摘要
  • 著录项
  • 相似文献
  • 相关主题

摘要

The ultrasonic motor has nonlinear characteristics, which vary with driving conditions and possess variable dead-zone in the control input that is associated with the applied load torque. The dead-zone has a problem in accurate positioning actuator. To improve the control performance of the ultrasonic motor, the dead-zone nonlinearity should be eliminated. This article proposes a new position control scheme for the ultrasonic motors that eliminates the problem due to dead-zone by employing fuzzy neural network (FNN). To achieve the accurate position control when drive conditions vary, FNN can adjust the membership function for the antecedent pan. The training of FNN is achieved using online backpropagation algorithm. The dead-zone is compensated by FNN, and PI controller performs the accurate positioning of the drive system. The validity of the proposed method is confirmed by experimental results.
机译：超声马达具有非线性特性，该非线性特性会随驱动条件而变化，并且在控制输入中具有与所施加的负载转矩相关的可变死区。死区在精确定位致动器方面存在问题。为了改善超声马达的控制性能，应消除死区非线性。本文提出了一种新的超声波电机位置控制方案，该方案通过采用模糊神经网络（FNN）消除了死区引起的问题。为了在驱动条件变化时实现精确的位置控制，FNN可以调整前锅的隶属度函数。 FNN的训练是使用在线反向传播算法来实现的。死区由FNN补偿，PI控制器执行驱动系统的精确定位。实验结果证实了该方法的有效性。

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