Optimization And Experimental Study Of Sensor Structure Based On MSMA Inverse Effect

Magnetically controlled shape memory alloy(MSMA)is a new type of material which is found late.Based on the characteristics of Magnetically controlled shape memory alloy such as high deformation rate and fast response,the research in this thesis is based on the inverse characteristics of the material,mainly to optimize the structure of the sensor,use ANSYS electromagnetic simulation software to verify.Finally,an experimental system is built to analyze the output induced voltage waveform under different input conditions.The main research contents are as follows:On this basis,according to the working principle of the MSMA sensor,Faraday's electromagnetic induction law and the relevant knowledge of magnetic ohm's law,the mathematical model of the induced voltage of the MSMA sensor is obtained,which provides a theoretical basis for parameter identification.Based on the description of MSMA material characteristics,the mathematical model of the sensor is established according to the working principle of MSMA sensor and magnetic ohm's law,which provides a theoretical basis for parameter identification.Optimize the design of the magnetic circuit structure of the MSMA sensor.It mainly includes excitation mode,permanent magnet model and size,converging head Angle,air gap length and so on.The excitation power of the sensor is reduced by optimizing the design,and the designed model is calculated and analyzed by ANSYS finite element software.The results show that the optimized sensor can achieve the same magnetic induction intensity in the air gap as before the optimization when the number of turns of the excitation coil is reduced by 21%.On the basis of the mathematical model,the objective function is established according to the principle of least squares,and the adjustment parameters and rule items are used to improve it.Based on the LDW-PSO algorithm,the calculation result is compared with the general particle swarm algorithm,which fully explains the LDW-PSO algorithm has a faster solution rate and also verifies the feasibility of the improved objective function method.Build the experimental system of the sensor.According to the magnitude and frequency of the excitation force and the bias magnetic field,the change rule of the sensor output induced voltage is studied.Under the same ambient temperature and experimental device conditions,the sensor system before and after optimization is studied separately,and the optimized induced voltage peak-to-peak value increased by 33%,which verified the accuracy of the sensor structure optimization.