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心脏起搏器非接触供电的混沌控制研究

发布时间:2018-09-18 10:21
【摘要】:为了提高心脏起博器非接触供电技术的可靠性,本文提出了一种新颖的应用无线反馈稳压技术调节心脏病患者内置供电滤波电路输出电压、电流的控制方法,使其输出电压保持稳定,从而确保超级电容和心脏起搏器得到稳定的供电电源。要实时地实施精确的电压控制,考虑原、副边线圈电感耦合系数变化、外置供电电源电压和负载的变化,需要实时、准确检测整流滤波后的输出电压、电流值。因此,在基于混沌控制理论的基础上,本文采用快速观测整流滤波后的电压和电流的双涡卷相图算法,可有效提高电路的检测时间。所提出的控制方法其相图可分解成8段,得到7个零极值点,当检测到这些零极值点时,根据零极值点的瞬时值得到对应的电压、电流平均值。仿真与实验结果表明,采用上述控制方法,可使开关器件的响应时间缩短为不超过1/2开关周期,从而验证了所提出检测算法的可行性与有效性。
[Abstract]:In order to improve the reliability of non-contact power supply technology for cardiac booster, this paper presents a novel control method for regulating the output voltage and current of the built-in power supply filter circuit in patients with heart disease by using wireless feedback voltage stabilizer. Keep its output voltage stable, thus ensuring a stable power supply to super capacitors and pacemakers. In order to implement accurate voltage control in real time, considering the change of inductance coupling coefficient of primary and secondary coils, and the variation of voltage and load of external power supply, it is necessary to accurately detect the output voltage and current value after rectifying and filtering in real time. Therefore, on the basis of chaos control theory, this paper adopts a two-vortex phase diagram algorithm for fast observation of voltage and current after rectifying and filtering, which can effectively improve the detection time of the circuit. The phase diagram of the proposed control method can be decomposed into 8 sections, and seven zero extremum points are obtained. When these zero extremum points are detected, the corresponding voltage and current mean values are obtained according to the instantaneous values of the zero extremum points. The simulation and experimental results show that the response time of the switching devices can be shortened to less than 1 / 2 of the switching cycle by using the control method, which verifies the feasibility and effectiveness of the proposed detection algorithm.
【作者单位】: 河南工程学院电气信息工程学院;
【基金】:国家自然科学基金资助项目(61305106) 河南省教育厅科学技术研究重点资助项目(14A510010) 郑州市科技局民生科技进步工程资助项目(131PZDGC136)
【分类号】:R318.04

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1 田心,杨福生;混沌控制及其在生物医学中应用前景[J];国外医学.生物医学工程分册;1999年05期



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