Reduced-order modeling for hyperthermia control
Reduced-order modeling for hyperthermia control
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DOI：
10.1109/10.184702
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发表时间：
1992-12
影响因子：
4.6
通讯作者：
J. K. Potocki;H. Tharp
中科院分区：
文献类型：
--
作者：
J. K. Potocki;H. Tharp
分析了降阶建模技术在多输入多输出(MIMO)热疗温度控制器设计中的可行性。基于扫描聚焦超声系统的生物传热方程模型的有限差分展开，建立了状态空间热模型。利用均衡实现技术对这些模型进行了降阶，并给出了降阶准则。结果表明，模型的降维效果显著。然后利用降阶模型设计了两扫描输入、两热电偶输出组织模型的降阶最优伺服机构控制器。设计了一种全阶最优伺服机构控制器，并将两种控制器应用于各种摄动组织热模型，验证了降阶控制器的鲁棒性。比较验证了开环平衡降阶模型的使用。
The feasibility of using reduced-order modeling techniques in the design of multiple-input, multiple-output (MIMO) hyperthermia temperature controllers is analyzed. State-space thermal models based on a finite-difference expansion of the bioheat transfer equation model of a scanned focused ultrasound system are created. These models are reduced using the balanced realization technique, and an order-reduction criterion is tabulated. Results show that a drastic reduction in model dimension can be achieved. The reduced-order model is then used to design a reduced-order optimal servomechanism controller for a two-scan input, two-thermocouple-output tissue model. A full-order optimal servomechanism controller is designed, and both controllers are applied to a variety of perturbed tissue thermal models to test the robust nature of the reduced-order controller. The comparison validates the use of open-loop balanced reduced-order models.>