Research on Modeling and Parameter Identification of MSMA Sensor

doi:10.11985/2022.04.021

Abstract

Abstract:

MSMA sensor is a new type of sensor that converts mechanical force signal into induced voltage signal. In order to better realize the application of MSMA sensor, it is necessary to model it. Due to the nonlinear relationship between the input and output of the sensor, it will increase the complexity of modeling, and there are many unknown parameters to be identified. The mathematical model of MSMA sensor is established by mechanism method combined with electromagnetic theory, and the unknown parameters of MSMA sensor mathematical model are identified by improved particle swarm optimization algorithm. In the identification process, the adjustment coefficient is introduced to dynamically adjust the weight and maximum speed of the particles, speed up the convergence of the algorithm, improve the social learning factor, and enhance the global search ability of the algorithm. Finally, the induced voltage calculated by the sensor mathematical model is compared with the induced voltage obtained by the test, which verifies the correctness of the model, and also shows that the algorithm can effectively solve the identification problem of the MSMA sensor mathematical model.

Key words: MSMA sensor, modeling, improved particle swarm algorithm, mathematical identification

CLC Number:

TP359

LU Jun, LIU Jinbao, JIA Shijie, LI Wanyi. Research on Modeling and Parameter Identification of MSMA Sensor[J]. Journal of Electrical Engineering, 2022, 17(4): 211-217.

Figures/Tables 11

References 20

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参数	数值
元件截面积A_MSMA/mm²	125
检测线圈匝数N	2 000
铁心截面积A_mC/mm²	400
永磁体长度l_s/mm	2.2
永磁体剩磁B_r/T	1.46
永磁体矫顽力H_c/(kA/m)	939
真空磁导率μ₀/(H/m)	4π×10^-7
气隙长度l_gap/mm	2.5
铁心长度l_mC/mm	331.3
铁心磁导率μ_mC/(H/m)	4π×10⁴
元件受力面积S_MSMA/mm²	12.5

识别参数	模型Ⅰ	模型Ⅱ
K₁	0.04×10^-3	0.04×10^-3
K₂	0.29	0.29
K₃	0.998	0.998
K₄	1.962	2.567
K₅	-0.186	-0.13
K₆	0.035 6	0.012
K₇	-0.024 9	-0.014 6