Optimal Design of Large-range Eddy Current Sensor Probe Based on Multi-objective Optimization Algorithm
In the large-range eddy current displacement sensor measurement system,the geometric parameters of the probe coil directly affect the performance of the entire system.For the optimal design of the probe coil in large-range eddy current dis-placement sensors,a design method based on multi-objective optimization algorithm was proposed.Initially,the model of probe sensor was established using COMSOL finite element simulation software to calculate the normalized sensitivity and resolution of the coil under different parameters.Subsequently,a BP neural network was used to establish a model between normalized sensitivity,resolution,and coil parameters.Finally,genetic algorithm was utilized for multi-objective optimization to obtain the optimal coil parameters.Experimental results indicate that the normalized sensitivity and resolution of the optimized sensor coil is improved by 0.02/mm and 0.94 μH,respectively,demonstrating that the proposed optimization algorithm can effectively enhance the perform-ance indicators of the eddy current sensor probe.
eddy current sensorwide rangecoil parametersneural networkmulti-objective optimization
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