Support Vector Machine Based Predictive Control for Active Power Filter

摘要：

A support vector machine (SVM) based predictive control strategy for active power filter is presented in this paper. In the strategy, SVM is employed to model and predict future harmonic compensating current, it has the advantages of nonexistence of local minima solutions, automatic choice of model complexity and good generalization performance. Based on the model output, branch-and-bound optimization method is adopted to produce proper value of control vector, this value is adequately modulated by means of a space vector PWM modulator which generate proper gating patterns of the inverter switches to maintain tracking of reference current. The SVM based predictive algorithm is used in internal model control scheme to compensate for process disturbances, measurement noise and modeling errors. The proposed control is applied to compensate the harmonic produced by the variable non-linear load, simulation results show SVM based predictive controller is effective.

作者: WANG Xuhong HU Dengyu

作者单位: Changsha University of Science and Technology, China

会议类型: 国际会议

会议名称: 2nd IEEE Conference on Industrial Electronics and Applications(ICIEA 2007)(第二届IEEE工业电子与应用国际会议)

会议地点: 哈尔滨

会议语种:英文

在线出版日期: 2007-05-23（万方平台首次上网日期，不代表论文的发表时间）