MSMA传感器的数学模型研究  

Research on Mathematical Model of MSMA Sensor

作　　者：鲁军 付新鹏 张宏旺 张怀治 

机构地区：[1]沈阳理工大学自动化与电气工程学院,辽宁沈阳110159

出　　处：《工业控制计算机》2024年第8期77-79,82,共4页Industrial Control Computer

基　　金：国家自然科学基金(51377110);辽宁省科学技术基金(20170540774)资助项目。

摘　　要：MSMA传感器是一种将压力信号转化为感应电压信号的传感器。由于传感器的输入和输出之间呈现较为复杂的非线性关系,所以为了更好地实现传感器的应用,需要对其数学模型进行深入研究。根据传感器的实际结构,会进一步增加数学模型的复杂程度,进而会增加参数辨识的难度。根据机理法建立了一种将宏观模型和微观模型相结合的数学模型,并通过非线性权重粒子群算法对模型的未知参数进行辨识。最后将传感器数学模型计算出的电压与实验测量出的感应电压进行比较,进而验证了数学模型的正确性与准确性。The MSMA sensor is a sensor that converts a pressure signal into an induced voltage signal.According to the actual structure of the sensor,the complexity of the mathematical model will be further increased,which will increase the difficulty of parameter identification.Therefore,a mathematical model combining macroscopic model and microscopic model is established according to the mechanism method,and the unknown parameters of the model are identified by nonlinear weight particle swarm optimization.Finally,the voltage calculated by the mathematical model of the sensor is compared with the induced voltage measured by the experiment,and the correctness and accuracy of the mathematical model are verified.

关 键 词：MSMA传感器 数学模型 非线性权重粒子群算法 参数辨识 

分 类 号：TP212[自动化与计算机技术—检测技术与自动化装置] O29[自动化与计算机技术—控制科学与工程]