点击次数：

论文类型：会议论文

发表时间：2010-04-06

收录刊物：Scopus、CPCI-S、EI

卷号：2

页面范围：314-317

关键字：Anti-Surge Control; Predictive Control; LS-SVM; Genetic Algorithm; Compressor

摘要：An anti-surge nonlinear model predictive control system based on Least-Squared Support Vector Machine (LS-SVM) is proposed to increase the efficiency of compressor. In controller design, a compressor dynamic model is created by LS-SVM. A rolling optimization method combing genetic algorithm and LS-SVM is taken to get better real-time performance. Use the control signal of next equipment's inlet valve as feedforward to adjust the reference trajectory. Simulation and experiment are performed to show the effective of this method.