"JMW_Paper_Tofighi"

"These programs are related to testing a 2.4 GHz\/10 W, custom-made and standalone, microwave heating (MWH) device built and tested by our group. A nonlinear autoregressive exogenous (NL-ARX) modelling approach is introduced to accurately predict the MWH closed-loop response. Through the first Matlab program, the NL-ARX model is fitted to open-loop measurements at five different power levels (20, 40, 60, 80, and 100% of the full power) performed on a phantom. The phantom baseline temperature is around the body temperature. Those power levels are achieved using pulse-width-modulation (PWM) of the MWH power. The input data to the program are the five temperature differences from the baseline temperature for each case versus time. They are stored in \"Data.xlsx\", consisting of six columns: the first being the time and the rest being the five sets of the measured temperature data. The NL-ARX models\u2019 goodness of fit is also obtained. The model is stored in \"mw_new_model.mat\" file. The obtained model is then used as part of a closed-loop simulation with proportional-integral-differential (PID) feedback control. The Matlab program to do this reads the saved model from the previous program. Controller parameters are initially specified, and a PID controller is implemented based on the selected setpoints and PID gain\u200b values. The way the program is written, it handles a set of Kp values for a fixed Ki or vice versa. After each simulation for one set of PID values is completed, the corresponding result is exported to an Excel file for further analysis. "

本系列程序围绕本团队自研自制的独立式2.4 GHz/10 W微波加热（MWH）装置的测试工作展开，该装置已由团队完成搭建与性能测试。本研究引入非线性自回归外生（NL-ARX）建模方法，以精准预测该微波加热装置的闭环响应特性。通过首个Matlab程序，将NL-ARX模型拟合至体模上开展的五种不同功率档位（满功率的20%、40%、60%、80%及100%）下的开环测量数据。该体模的基准温度接近人体体温，上述功率档位通过微波加热装置的脉冲宽度调制（PWM）技术实现。本程序的输入数据为各档位下相对于基准温度的五项温度差值随时间的变化序列，这些数据存储于"Data.xlsx"文件中，该文件包含六列数据：第一列为时间序列，其余五列为五组实测温度数据。本程序同时可输出NL-ARX模型的拟合优度，训练完成的模型将存储于"mw_new_model.mat"文件中。随后，将所得模型应用于带有比例-积分-微分（PID）反馈控制的闭环仿真任务中。实现该仿真的Matlab程序将读取前一程序保存的模型，用户可预先指定控制器参数，并基于选定的设定值与PID增益值搭建PID控制器。本程序的设计逻辑支持固定积分系数Ki时调整一组比例系数Kp，或固定比例系数Kp时调整一组积分系数Ki的仿真场景。每组PID参数对应的仿真任务完成后，相应结果将导出至Excel文件中，以供后续分析使用。