Nonlinearity Analysis and Parameters Optimization for an Inductive Angle Sensor

Sensors

Lin Ye²  Ming Yang¹  Liang Xu²  Xiaoqi Zhuang²  Zhaopeng Dong² 

[1] Department of Instrument Science and Engineering, Shanghai Jiaotong University, Shanghai 200240, China;

关键词: finite element method (FEM);    particle swarm optimization (PSO);    inductive angle sensor;    nonlinearity error;   

DOI  :  10.3390/s140304111

来源: mdpi

【 摘 要 】

Using the finite element method (FEM) and particle swarm optimization (PSO), a nonlinearity analysis based on parameter optimization is proposed to design an inductive angle sensor. Due to the structure complexity of the sensor, understanding the influences of structure parameters on the nonlinearity errors is a critical step in designing an effective sensor. Key parameters are selected for the design based on the parameters' effects on the nonlinearity errors. The finite element method and particle swarm optimization are combined for the sensor design to get the minimal nonlinearity error. In the simulation, the nonlinearity error of the optimized sensor is 0.053% in the angle range from −60° to 60°. A prototype sensor is manufactured and measured experimentally, and the experimental nonlinearity error is 0.081% in the angle range from −60° to 60°.

【 授权许可】

CC BY   
© 2014 by the authors; licensee MDPI, Basel, Switzerland.