检索规则说明:AND代表“并且”;OR代表“或者”;NOT代表“不包含”;(注意必须大写,运算符两边需空一格)
检 索 范 例 :范例一: (K=图书馆学 OR K=情报学) AND A=范并思 范例二:J=计算机应用与软件 AND (U=C++ OR U=Basic) NOT M=Visual
作 者:肖波
机构地区:[1]西南医科大学生物医学工程系,四川泸州646000
出 处:《计算机仿真》2017年第1期360-363,375,共5页Computer Simulation
基 金:西南医科大学(原泸州医学院)院级课题(zy201314)
摘 要:针对体内医用红外射频仪温度进行准确控制,要求提高体内医用红外射频仪的治疗效果。但人体内环境复杂,血液流动等因素对温度控制过程形成冲击,造成温度信号发生上下波动,需要建立动反馈系数进行调整。传统的半导体激光器恒温控制系统是通过搜索稳定的温度信号进行控制,当温度信号波动时,缺少波动反馈系数进行自适应调整,降低了温度控制精度。提出一种模糊推理的温度控制方法,并应用到体内医用红外射频仪的温度控制中。通过分析传统的温度控制方法存在的弊端,将优化同反馈的理念融入控制过程中,通过不同的优化指标实现推理,并给出推理方法的具体过程,以此基础建立体内医用红外射频仪的温度高精度控制模型,仿真实验结果表明,改进控制模型提高了射频仪温度控制的准确度。The accurate temperature control of medical infrared radio frequency instrument inside body needs to improve the treatment effect of instrument. However, the environment inside human body is complicated. Factors such as blood flow shock the progress of temperature control. It leads to the fluctuation of temperature signal and needs to build motional feedback coefficient to adjust. In this paper, we proposed a temperature control method based on fuzzy reasoning and applied it to the temperature control of medical infrared radio frequency instrument inside body. Firstly, optimization and feedback was integrated into the control progress through analyzing the disadvantage of traditional temperature control method. Then, inference was realized through different optimization indexes and specific process of inference method was given. Finally, temperature control model with high precision was built on that basis. The simulation results show that the modified model can improve the temperature control precision of radio frequency instrument.
分 类 号:TP273[自动化与计算机技术—检测技术与自动化装置]
正在载入数据...
正在载入数据...
正在载入数据...
正在载入数据...
正在载入数据...
正在载入数据...
正在载入数据...
正在链接到云南高校图书馆文献保障联盟下载...
云南高校图书馆联盟文献共享服务平台 版权所有©
您的IP:216.73.216.222