文献类型：会议论文

英文题名：Dynamic Compensation for Infrared Thermometer Based on SVR and Immune Clone Selection Algorithm

作者：Tian, WenJie[1];Geng, Yu[1];Ai, Lan[1];Lu, JiCheng[1]

通讯作者：Tian, WJ[1]

机构：[1]BEIJING Union Univ, Automat Inst, Beijing, Peoples R China

第一机构：北京联合大学城市轨道交通与物流学院

通讯机构：[1]corresponding author), BEIJING Union Univ, Automat Inst, Beijing, Peoples R China.|[1141751]北京联合大学城市轨道交通与物流学院;[11417]北京联合大学;

会议论文集：International Conference on Industrial and Information Systems

会议日期：APR 24-25, 2009

会议地点：Haikou, PEOPLES R CHINA

语种：英文

外文关键词：SVM model; compensation; immune clone selection algorithm; infrared thermometer; identification

摘要：A novel structure of dynamic model is 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 immune clone selection algorithm. The results show that the stabilizing time of the thermometer is reduced less than 7 ms from 26 ms and the dynamic performance is obviously improved after compensation.