Wind direction forecasting plays an important role in wind power prediction and air pollution management. Weather quantities such as temperature, precipitation, and wind speed are linear variables in which traditional...Wind direction forecasting plays an important role in wind power prediction and air pollution management. Weather quantities such as temperature, precipitation, and wind speed are linear variables in which traditional model output statistics and bias correction methods are applied. However, wind direction is an angular variable; therefore, such traditional methods are ineffective for its evaluation. This paper proposes an effective bias correction technique for wind direction forecasting of turbine height from numerical weather prediction models, which is based on a circular-circular regression approach. The technique is applied to a 24-h forecast of 65-m wind directions observed at Yangmeishan wind farm, Yunnan Province, China, which consistently yields improvements in forecast performance parameters such as smaller absolute mean error and stronger similarity in wind rose diagram pattern.展开更多
圆周合成孔径声呐通过对成像场景作360°圆周运动获得目标全方位观测信息,以实现水下目标三维高精度成像,其成像效果受无人搭载平台的圆周运动误差影响较大.针对这一问题,根据圆周路径推导设计了基于向心加速度的圆周运动非线性制...圆周合成孔径声呐通过对成像场景作360°圆周运动获得目标全方位观测信息,以实现水下目标三维高精度成像,其成像效果受无人搭载平台的圆周运动误差影响较大.针对这一问题,根据圆周路径推导设计了基于向心加速度的圆周运动非线性制导算法(centripetal acceleration based nonlinear guidance for circular,CANGC),对圆周轨迹贴合度高,具有较高的控制精度.此外,还设计了基于模型预测控制算法的圆周运动控制律,具有较快的控制响应和较强的自适应能力.将两种算法较好地融合,可实现精准圆周轨迹跟踪.其中制导律的控制输出为偏航角速度,因此控制过程中不依赖于无人船磁力计测得的偏航角数据,可以在具有较强磁场影响的条件下使用.通过仿真实验验证了算法的优越性,本文所设计的算法跟踪精度比文献中的算法的跟踪精度高80.1%.湖上实验进一步验证该算法对于圆周运动有较高的控制精度.研究成果为圆周合成孔径声呐成像无人船平台研究提供了算法基础.展开更多
基金supported by the Strategic Priority Research Program-Climate Change: Carbon Budget and Related Issues of the Chinese Academy of Sciences (Grant No. XDA05040301)the National Basic Research Program of China (Grant No. 2010CB951804)the National Natural Science Foundation of China (Grant No. 41101045)
文摘Wind direction forecasting plays an important role in wind power prediction and air pollution management. Weather quantities such as temperature, precipitation, and wind speed are linear variables in which traditional model output statistics and bias correction methods are applied. However, wind direction is an angular variable; therefore, such traditional methods are ineffective for its evaluation. This paper proposes an effective bias correction technique for wind direction forecasting of turbine height from numerical weather prediction models, which is based on a circular-circular regression approach. The technique is applied to a 24-h forecast of 65-m wind directions observed at Yangmeishan wind farm, Yunnan Province, China, which consistently yields improvements in forecast performance parameters such as smaller absolute mean error and stronger similarity in wind rose diagram pattern.
文摘圆周合成孔径声呐通过对成像场景作360°圆周运动获得目标全方位观测信息,以实现水下目标三维高精度成像,其成像效果受无人搭载平台的圆周运动误差影响较大.针对这一问题,根据圆周路径推导设计了基于向心加速度的圆周运动非线性制导算法(centripetal acceleration based nonlinear guidance for circular,CANGC),对圆周轨迹贴合度高,具有较高的控制精度.此外,还设计了基于模型预测控制算法的圆周运动控制律,具有较快的控制响应和较强的自适应能力.将两种算法较好地融合,可实现精准圆周轨迹跟踪.其中制导律的控制输出为偏航角速度,因此控制过程中不依赖于无人船磁力计测得的偏航角数据,可以在具有较强磁场影响的条件下使用.通过仿真实验验证了算法的优越性,本文所设计的算法跟踪精度比文献中的算法的跟踪精度高80.1%.湖上实验进一步验证该算法对于圆周运动有较高的控制精度.研究成果为圆周合成孔径声呐成像无人船平台研究提供了算法基础.
