针对电气化铁路高负序含量、谐波污染等电能质量问题,讨论一种能够进行负序与谐波综合补偿的铁路功率调节器(railway static power conditioner,RPC)。为了提高RPC的控制性能与效果,构建RPC的电流内环基于重复预测的无差拍控制和电压外...针对电气化铁路高负序含量、谐波污染等电能质量问题,讨论一种能够进行负序与谐波综合补偿的铁路功率调节器(railway static power conditioner,RPC)。为了提高RPC的控制性能与效果,构建RPC的电流内环基于重复预测的无差拍控制和电压外环的复合准PI控制的双环控制策略,实现了对参考电流信号的快速、平滑跟踪和直流侧电压的平稳控制。考虑到系统模型参数的扰动性与波动性,通过采用基于遗忘因子的递推最小二乘算法来动态辨识系统参数,增强控制系统的适应性。最后进行仿真和实验验证,结果证实了所提方法的正确性。展开更多
In this paper, we present a least squares version for support vector machines(SVM)classifiers and functionestimation. Due to equality type constraints in the formulation, the solution follows from solving a set of lin...In this paper, we present a least squares version for support vector machines(SVM)classifiers and functionestimation. Due to equality type constraints in the formulation, the solution follows from solving a set of linear equa-tions, instead of quadratic programming for classical SVM. The approach is illustrated on a two-spiral benchmarkclassification problem. The results show that the LS-SVM is an efficient method for solving pattern recognition.展开更多
文摘针对电气化铁路高负序含量、谐波污染等电能质量问题,讨论一种能够进行负序与谐波综合补偿的铁路功率调节器(railway static power conditioner,RPC)。为了提高RPC的控制性能与效果,构建RPC的电流内环基于重复预测的无差拍控制和电压外环的复合准PI控制的双环控制策略,实现了对参考电流信号的快速、平滑跟踪和直流侧电压的平稳控制。考虑到系统模型参数的扰动性与波动性,通过采用基于遗忘因子的递推最小二乘算法来动态辨识系统参数,增强控制系统的适应性。最后进行仿真和实验验证,结果证实了所提方法的正确性。
文摘In this paper, we present a least squares version for support vector machines(SVM)classifiers and functionestimation. Due to equality type constraints in the formulation, the solution follows from solving a set of linear equa-tions, instead of quadratic programming for classical SVM. The approach is illustrated on a two-spiral benchmarkclassification problem. The results show that the LS-SVM is an efficient method for solving pattern recognition.
