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首页> 外文期刊>IEEE Transactions on Biomedical Engineering >Multipoint temperature control during hyperthermia treatments: theory and simulation
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Multipoint temperature control during hyperthermia treatments: theory and simulation

机译：热疗中的多点温度控制：理论与模拟

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摘要

A real-time multipoint feedback temperature control system has been designed and implemented with an ultrasound phased-array applicator for hyperthermia. The control parameters are the total power available from the supply and the dwell times at a sequence of preselected heating patterns. Thermocouple measurements are assumed for temperature feedback. The spatial operator linking available heating patterns to temperature measurements is measured at the outset of the treatment and can be remeasured on line an adaptive implementation. A significant advantage of this approach is that the controller does not require a priori knowledge of either the placement of the thermocouples or the power distribution of the ultrasound heating patterns. Furthermore, the control loop uses a proportional integral (PI) gain in conjunction with a singular value decomposition (SVD) of the spatial transfer operator. This approach is advantageous for robust implementation and is shown to properly balance the power applied to the individual patterns. The controller also deals with saturation in the inputs without integrator windup and, therefore, without temperature overshoot. Here, the authors present the theoretical formulation and representative simulation results of the proposed controller. The control algorithm has been verified experimentally, both in vitro and in vivo. A subsequent paper describing these results and the practical implementation of the controller will follow.
机译：一个实时的多点反馈温度控制系统已经设计和实现，用于超声治疗的超声相控阵施加器。控制参数是在一系列预选的加热模式下可从电源获得的总功率和停留时间。假设热电偶测量用于温度反馈。将可用的加热模式链接到温度测量值的空间算子在处理开始时就进行了测量，并且可以在线进行自适应测量。该方法的显着优点是，控制器不需要先验的热电偶放置或超声加热模式的功率分布知识。此外，控制回路结合空间传递算子的奇异值分解（SVD）使用比例积分（PI）增益。该方法对于稳健的实现是有利的，并且显示为适当地平衡施加到各个图案的功率。控制器还处理输入的饱和，而无需积分器饱和，因此，不会出现温度过冲。在这里，作者介绍了所提出的控制器的理论公式和代表性的仿真结果。该控制算法已经在体外和体内进行了实验验证。随后的论文将描述这些结果以及控制器的实际实现。

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