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基于改进神经网络PID算法的医用电子直线加速器温控系统研究

Temperature Control System of PID Algorithm Based on Improved Neural Network for Medical Linac

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【作者】 王建华郭嘉泰袁小燕荆彦峰牛晓东杨国珍樊云飞

【Author】 WANG Jian-hua1,2,GUO Jia-tai1,YUAN Xiao-yan1,JING Yan-feng1,NIU Xiao-dong1,YANG Guo-zhen2,FAN Yun-fei3(1.Department of Physics,Changzhi Medical College,Changzhi Shanxi 046000,China;2.Department of Radiology,Heping Hospital of Changzhi Medical College,Changzhi Shanxi 046000,China;3.Department of Biomedical Engineering,Changzhi Medical College,Changzhi Shanxi 046000,China)

【机构】 长治医学院医学物理教研室长治医学院附属和平医院放射治疗科长治医学院生物医学工程系

【摘要】 目的:探讨基于改进神经网络PID算法的医用电子直线加速器温控系统的实现。方法:针对医用电子直线加速器温度控制难题,提出了基于共轭梯度算法改进的BP神经网路PID控制算法,并在温度控制系统中进行了仿真。结果:该控制器能够实现较好控制效果。结论:利用共轭梯度算法改进的BP神经网路PID控制算法对医用电子直线加速器温度控制系统进行控制方法切实有效,简单可行。

【Abstract】 Objective: To deal with the difficult problem of temperature control system for Medical Linac.Methods: This paper presents PID control algorithm based on BP neural network improved by conjugate gradient algorithm,and makes simulation in temperature control system.Results: Its result shows that the controller can achieve preferable effect.Conclusions: Using PID control algorithm based on BP neural network of expert system for Medical Linac is reliable and efficient.

  • 【文献出处】 中国医学物理学杂志 ,Chinese Journal of Medical Physics , 编辑部邮箱 ,2011年04期
  • 【分类号】TP273
  • 【被引频次】4
  • 【下载频次】88
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