Sensor Dynamic Modeling Based on GWO-LSSVM

Sensor dynamic modeling is an important way to study the working mechanism of the sensor, evaluate the dynamic performance index and design the dynamic correction link. Aiming at the problem that it is difficult to accuratly model the nonlinear and dynamic characteristics of sensor dynamics, a sensor dynamic modeling way is proposed. Based on the regression analysis algorithm of the LSSVM, the adjustable parameters are selected by the gray wolf optimization algorithm, and finally the dynamic model of the sensor is established. The simulation results show that the model built by GWO-LSSVM has strong practicability and reliability, and provides a reference for improving the dynamic performance of the sensor and online compensation.