个人信息Personal Information
讲师
性别:女
毕业院校:韩国亚洲大学
学位:硕士
所在单位:软件学院、国际信息与软件学院
电子邮箱:yhan@dlut.edu.cn
Centrifugal compressor surge control using nonlinear model predictive control based on LS-SVM
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论文类型:会议论文
发表时间:2010-06-08
收录刊物:EI、Scopus
页面范围:466-471
摘要:This paper reports a surge control strategy for centrifugal compressor using nonlinear model predictive control based on Lease-Squared Support Vector Machine(LS-SVM) in order to increase efficiency of centrifugal compressor. The MISO nonlinear predictive models of compressor's discharge pressure and mass flow are developed by LS-SVM. In order to avoid surge, the conditions of anti-surge are chosen as the limiting conditions of the control objective and also the reference trajectory. The influence of actuator's response time is reduced by predict the compressor's input and output in advance. The operating point's fluctuate is avoided by the control objective which let the difference of the adjacent control input be the minimum. Simulation and experiment results show that the proposed control strategy can decrease the distance between surge line and control line at the same time avoid surge effectively, so compressor's efficiency is increased significantly. ?2010 IEEE.