Application of Improved Aquila Optimizer in Thermocouple Dynamic Compensation
In order to solve the problem that the thermocouple time constant is too large to reflect the transient change of measured temperature,a dynamic compensation method of thermocouple based on improved aquila op-timizer(IAO)was proposed in this paper.The aquila optimizer(AO)was improved by introducing Sobol se-quence initialization population and dynamic reverse learning strategy.The experimental results showed that the time constant of the thermocouple was reduced from 0.097 s to 0.009 s,which was nearly 90.7%.The dynamic compensation system obtained by IAO optimization effectively improved the dynamic characteristics of the ther-mocouple sensor and reduced the dynamic error of the thermocouple sensor.
万方数据
维普
