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Sensors 2014, 14(3), 4111-4125; doi:10.3390/s140304111

Nonlinearity Analysis and Parameters Optimization for an Inductive Angle Sensor

Department of Instrument Science and Engineering, Shanghai Jiaotong University, Shanghai 200240, China
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Author to whom correspondence should be addressed.
Received: 13 December 2013 / Revised: 13 February 2014 / Accepted: 14 February 2014 / Published: 28 February 2014
(This article belongs to the Section Physical Sensors)
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Abstract

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°.
Keywords: finite element method (FEM); particle swarm optimization (PSO); inductive angle sensor; nonlinearity error finite element method (FEM); particle swarm optimization (PSO); inductive angle sensor; nonlinearity error
This is an open access article distributed under the Creative Commons Attribution License (CC BY 3.0).

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MDPI and ACS Style

Ye, L.; Yang, M.; Xu, L.; Zhuang, X.; Dong, Z.; Li, S. Nonlinearity Analysis and Parameters Optimization for an Inductive Angle Sensor. Sensors 2014, 14, 4111-4125.

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