title: Nonlinearity analysis and parameters optimization for an inductive angle sensor.
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°.
authors.affiliation: Department of Instrument Science and Engineering, Shanghai Jiaotong University, Shanghai 200240, China. linye@sjtu.edu.cn.
authors.forename: Lin
authors.initials: L
authors.lastname: Ye
authors.affiliation: Department of Instrument Science and Engineering, Shanghai Jiaotong University, Shanghai 200240, China. myang@sjtu.edu.cn.
authors.forename: Ming
authors.initials: M
authors.lastname: Yang
authors.affiliation: Department of Instrument Science and Engineering, Shanghai Jiaotong University, Shanghai 200240, China. seablueboy@163.com.
authors.forename: Liang
authors.initials: L
authors.lastname: Xu
authors.affiliation: Department of Instrument Science and Engineering, Shanghai Jiaotong University, Shanghai 200240, China. qiqi_zxq@163.com.
authors.forename: Xiaoqi
authors.initials: X
authors.lastname: Zhuang
authors.affiliation: Department of Instrument Science and Engineering, Shanghai Jiaotong University, Shanghai 200240, China. dzp0826@163.com.
authors.forename: Zhaopeng
authors.initials: Z
authors.lastname: Dong
authors.affiliation: Department of Instrument Science and Engineering, Shanghai Jiaotong University, Shanghai 200240, China. shiyangli@sjtu.edu.cn.
authors.forename: Shiyang
authors.initials: S
authors.lastname: Li