THE STUDY OF MULTIPLE MODEL PREDICTIVE CONTROL IN WASTEWATER TREATMENT PROCESSES
A multiple model predictive control strategy dealing with nonlinear model-based predictive control (NMPC) is proposed in this paper. It is used to deal with control problem of strong nonlinear systems- wastewater treatment processes. Firstly a multi-model modeling method based on local model is given. The modeling idea is to find some data matching with the current working point from vast historical system input-output datasets, then to develop a local model using local polynomial fitting (LPF) algorithm. With the change of working points, multiple local models are built. Combining the obtained multiple models with predictive control, a multiple model predictive control strategy is developed, thus solves the control problem of a sort of unknown-structure nonlinear system based on vast history data only. The effectiveness of the proposed method is demonstrated by simulation results.
Nonlinear system Multi-model Model predictive control Neighborhood Wastewater treatment processes
JING ZENG DING-YU XUE DE-CHENG YUAN
School of Information Science & Engineering, Northeastern University, Shenyang 110004, China Automat School of Information Science & Engineering, Northeastern University, Shenyang 110004, China Automation Dept, Shenyang Institute of Chemical Technology, Shenyang 110142, China
国际会议
2008 International Conference on Machine Learning and Cybernetics(2008机器学习与控制论国际会议)
昆明
英文
2166-2169
2008-07-12（万方平台首次上网日期，不代表论文的发表时间）