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Indexed by:会议论文

Date of Publication:2010-04-06

Included Journals:EI、CPCI-S、Scopus

Volume:2

Page Number:314-317

Key Words:Anti-Surge Control; Predictive Control; LS-SVM; Genetic Algorithm; Compressor

Abstract: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.