Notice of Violation of IEEE Publication Principles A New Optimization Algorithm for Dynamic Compensation of Sensors

A novel structure of dynamic model and improved artificial fish swarm algorithm (AFSA) are proposed in this paper and applied to construct a dynamic model to correct the dynamic errors of the infrared thermometer, because of which the dynamic performance of the thermometer is effectively improved. The dynamic compensator is established and the compensation is described and explicated by the support vector machine (SVM) model. According to SVM model, the novel structure is devised. The identification of thermometer non-linear dynamic compensator is achieved by artificial fish swarm algorithm. The results show that the stabilizing time of the thermometer is reduced and the dynamic performance is obviously improved after compensation.