针对中点钳位型(neutral point clamped,NPC)的静止无功发生器(static var generator,SVG),提出了一种模型预测电流控制策略。由于SVG的预测模型实际上是一种开环模型,故其交流侧实际输出电流与指令电流存在电流跟踪误差,在平衡计算量...针对中点钳位型(neutral point clamped,NPC)的静止无功发生器(static var generator,SVG),提出了一种模型预测电流控制策略。由于SVG的预测模型实际上是一种开环模型,故其交流侧实际输出电流与指令电流存在电流跟踪误差,在平衡计算量与跟踪精度的前提下,设计了电流跟踪精度误差的评估函数,对预测电流进行了反馈校正,构成了闭环优化。利用预测算法可多步预测的优势,对系统中因采样、计算和控制造成的延时问题,提出一种两步预测法,对控制延时进行了改善,提升了SVG的补偿性能。在MATLAB/SIMULINK仿真环境中搭建了仿真模型,仿真结果验证了所提策略的有效性。展开更多
In this work it presents a strategy to obtain the ozone solubility in water by gradient step method. In this methodology, the ozone in mixture with oxygen is bubbling in a reactor with distilled water at 21℃ and pH 7...In this work it presents a strategy to obtain the ozone solubility in water by gradient step method. In this methodology, the ozone in mixture with oxygen is bubbling in a reactor with distilled water at 21℃ and pH 7. The ozone concentration on gas phase is continually increased after the saturation is reached. The method proposed is faster than conventional method （isocratic method）. The solubility from the gradient method is compared with that values obtained from correlations founded in the literature.展开更多
文摘针对中点钳位型(neutral point clamped,NPC)的静止无功发生器(static var generator,SVG),提出了一种模型预测电流控制策略。由于SVG的预测模型实际上是一种开环模型,故其交流侧实际输出电流与指令电流存在电流跟踪误差,在平衡计算量与跟踪精度的前提下,设计了电流跟踪精度误差的评估函数,对预测电流进行了反馈校正,构成了闭环优化。利用预测算法可多步预测的优势,对系统中因采样、计算和控制造成的延时问题,提出一种两步预测法,对控制延时进行了改善,提升了SVG的补偿性能。在MATLAB/SIMULINK仿真环境中搭建了仿真模型,仿真结果验证了所提策略的有效性。
文摘In this work it presents a strategy to obtain the ozone solubility in water by gradient step method. In this methodology, the ozone in mixture with oxygen is bubbling in a reactor with distilled water at 21℃ and pH 7. The ozone concentration on gas phase is continually increased after the saturation is reached. The method proposed is faster than conventional method （isocratic method）. The solubility from the gradient method is compared with that values obtained from correlations founded in the literature.
