Research On Parameters Optimization Of Reluctance Resolver And Test System

As a sensor of position detection,the resolver can produce high-precision position signal,which has the advantages of simple structure,high reliability,high temperature resistance,high humidity resistance,anti-vibration.It is widely used in aerospace,military,electric vehicles and other fields,and has a good application prospect.In the process of the optimal design of the reluctance resolver,the pole-slot matching method and the selection of the structure parameters need to be considered.However,there is not much research on the pole-slot matching method in the existing papers.To solve the problem,the signal winding polarities is introduced into the calculation of the number of turns in the sinusoidal distributed winding,and the relationship between the numbers of stator teeth,the signal winding polarities and the rotor poles is deduced.The structure parameters of the resolver are optimized by support vector machine for regression(SVR)and improved multi-objective particle swarm optimization(IMOPSO).At the same time,the automatic test system of resolver is developed by using Lab VIEW,which can improve the test efficiency,replace the manual test and realize the industrial automation.The main contents of this thesis are as follows:Firstly,the structure of the stator,rotor and windings of the reluctance resolver is described,and its principle is introduced by analyzing the air-gap permeance of the resolver with equal turns winding.The signal winding polarities is introduced into the calculation of the number of turns in the sinusoidal distributed winding,and the output voltage of the resolver is analyzed.According to the principle of the resolver,the pole-slot matching method is derived and verified by finite element simulation.Secondly,taking total harmonic distortion and zero-position voltage of output voltage as the optimization objectives,the SVR is used to establish the mathematical model between the optimization objective and structural parameters such as the slot-opening width of stator,the rotor sine coefficient,and the minimum air-gap length,and the IMOPSO is applied to optimize the model to obtain the optimal parameters,and then TOPSIS(Technique for Order Preference by Similarity to an Ideal Solution)is utilized to choose the optimal results.The simulation of the results verifies the feasibility of the method.Thirdly,the composition of the resolver test system is described in detail.According to the test requirements,the hardware of the test system is selected and designed.The hardware is mainly composed of automatic turntable,signal generator,digital multimeter,phase angle voltmeter,angle position indicator and MCU control circuit.According to the test specification and manual test method,the software design of the test system is introduced from the MCU control program,turntable and virtual instrument control,automatic control logic.Finally,the causes of errors in the test are analyzed.The test of 32 pole pairs double channel resolver is carried out to verify the feasibility of automatic test system instead of manual test.The stability of the test system is analyzed by calculating the uncertainty,and the reliability of the electrical error is studied.According to the optimal results,a reluctance resolver prototype is fabricated for experimental analysis.