Font Size: a A A

Multi-parameters Optimization And Application Of Inductive Angle Sensor

Posted on:2015-03-08Degree:DoctorType:Dissertation
Country:ChinaCandidate:L YeFull Text:PDF
GTID:1108330476453929Subject:Instrument Science and Technology
Abstract/Summary:PDF Full Text Request
Electromagnetic inductive angle sensor is contactless, which applied to angle measurement in the field of anto accessories,robot, and man-mashine interface of electronic instrument. It satisfies high precision, digitization, wide-range measurement in modern industry measurement. Sensor parameters are important for the sensor performance. It is necessary to optimize the sensor based on theoretical analysis between design parameters and sensor characteristic.Inductive angle sensor works on the principle of inductive current field between the stator and the rotor. Since the complexity of 3D current field, it is hard to construct the mathematics model between the design parameters and output characteristic, therefore,it is necessary for multi-parameters optimization of the sensor. Nonlinearity error and sensitivity are principal characteristic of the sensor, which evaluates quality of the sensor. The purpose of the research is to optimize multi-parameter sensor, and to seek suitable design parameters, producing optimal characteristic of the sensor, for example, the small nonlinearity error and large sensitivity output.Angle sensor model is set and used to study the effect of design parameters on the performance of sensor in the electromagnetic finite element analysis system. The main research contents are as follows:An improved sensor structure is presented, its output signal has periodic linear characteristic. In order to analyze the effect of rotor shape on the sensitivity and dgree of fitting of induced voltage, several sensor models are simulated in the electromagnetic finite element analysis system, through comparing simulation results, solid rotor is chosen and copper material is selected as the material for the sensor. Sensor parameters which include turn number of excitation coil, excitation frequency, and coil width and so on are analyzed how to affect nonlinearity error and sensitivity of the sensor.Inductive angle sensor is respectively optimized using orthogonal experimental design method and reponse surface method. Key designing parameters levels which affected sensor performance is confirmed using orthogonal experimental design method. Objective function is built using reponse surface method to show mathematics model between designing parameters and the nonlinearity, predicting optimized parameters and nonlinearity error. Sensor model and prototype are set based on the optimized parameters, and their nonlinearity errors are analyzed.Inductive angle sensor is optimized using particle swarm optimization(PSO). Compared reponse surface method, PSO doesn’t readjust the initial search domain of the parameters and is a member of the wide category of swarm intelligence methods for solving global optimization problems. One group of optimized designing parameters is shown using PSO method: rotor thickness is 1.24 mm, rotor blade angle is 52.7, and the gap between the stator and the rotor is 0.2mm. 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 measured experimentally, and the experimental nonlinearity error is 0.081% in the angle range from-60° to 60°.Optimized angle sensor is installed on the untrasonic motor, and the angle of the motor is measured by the sensor in real time. As the motor excitation frequency changes, motor angle is still measured with the sensor.
Keywords/Search Tags:Untrasonic motor, Inductive angle sensor, Nonlinearity error, Numerical optimization, Response surface method, Particle swarm optimization
PDF Full Text Request
Related items