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个人信息Personal Information
教授
博士生导师
硕士生导师
主要任职:President of international exchange committee of the Chinese Society of Rock Mechanics and Engineering CSRME
其他任职:国际岩石力学与岩石工程学会(ISRM)中国国家小组副主席
性别:男
毕业院校:东北大学
学位:博士
所在单位:土木工程系
办公地点:综合实验四号楼330
联系方式:tca@mail.neu.edu.cn
Study and Apply Rolling Predictive Control Model for Surrounding Rock Displacement Based on PSO-SVM
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论文类型:会议论文
发表时间:2008-07-02
收录刊物:EI、CPCI-S、Scopus
页面范围:1843-1847
关键字:Underground engineer; Particle swarm optimization; Support vector machine; Predictive control; Surrounding rock displacement
摘要:The excavation and construction of underground engineering is a dynamically adjusting process of system. The paper starts with the index of surrounding rock displacement which can reflect both observability and controllability of underground engineer system. The nonlinear machine learning tool -Support Vector Machine(SVM) which based on statistic learning theory is utilized to construct the time series model. Because penalty factor and kernel parameter of SVM affect the predicting accuracy evidently, and SVM has not provided the selection method, the parameters are optimized by global optimization arithmetic-particle swarm optimization. Based on the PSO-SVM evolutionary predictive model, appending the up-to-date monitoring information, multi-step extrapolating forecast model of surrounding rock displacement is constructed, and according to control criteria, the supporting scheme is adjusted, realizing the predictive control for underground engineer. An engineer sample is studied, the result states that the PSO-SVM model is feasible. The proposed predictive control method provides new approach for underground construction.