Global look-up table strategy proposed recently has been proven to be an efficient method to accelerate the interpolation, which is the most time-consuming part in the iterative sub-pixel digital image correlation （...Global look-up table strategy proposed recently has been proven to be an efficient method to accelerate the interpolation, which is the most time-consuming part in the iterative sub-pixel digital image correlation （DIC） algorithms. In this paper, a global look-up table strategy with cubic B-spline interpolation is developed for the DIC method based on the inverse compositional Gauss-Newton （IC-GN） algorithm. The performance of this strategy, including accuracy, precision, and computation efficiency, is evaluated through a theoretical and experimental study, using the one with widely employed bicubic interpolation as a benchmark. The global look-up table strategy with cubic B-spline interpolation improves significantly the accuracy of the IC-GN algorithm-based DIC method compared with the one using the bicubic interpolation, at a trivial price of computation efficiency.展开更多
Solar energy has attracted a lot of attention because it is clean and has no pollution.However,due to the partially shaded condition,the photovoltaic array cannot work uniformly at the maximum power point,resulting in...Solar energy has attracted a lot of attention because it is clean and has no pollution.However,due to the partially shaded condition,the photovoltaic array cannot work uniformly at the maximum power point,resulting in a large power loss.To improve this problem,the research of the maximum power point tracking(MPPT)algorithm is discussed by scholars.In this paper,an improved particle swarm optimization(PSO)algorithm is proposed to achieve the goal of MPPT,which uses Newton interpolation-assisted conventional PSO.After tracking to the maximum power point,the Newton interpolation method is used to calculate the maximum power point,reduce the number of iterations of the conventional PSO algorithm and reduce the steady-state oscillation.The simulation is carried out in MATLAB^(■)/Simulink^(■)and compared with conventional PSO.The results show that the improved PSO has better tracking ac-curacy and speed than the conventional algorithm,and the initial tracking speed is increased by>30%.展开更多
提出了一种基于大步距标定和局部牛顿(Newton)插值的焊接参数自调节算法,不仅可以实现参数调节的一元化,还将数字化焊机的数据库由静态数据库模式转变为具有自学习和自调节功能的动态数据库模式,为数字弧焊电源向智能化方向发展提供了...提出了一种基于大步距标定和局部牛顿(Newton)插值的焊接参数自调节算法,不仅可以实现参数调节的一元化,还将数字化焊机的数据库由静态数据库模式转变为具有自学习和自调节功能的动态数据库模式,为数字弧焊电源向智能化方向发展提供了一种有效的演进策略.结果表明,这种算法可以实现数字化焊机参数在较大范围内的连续自调节;用生成的脉冲型熔化极气体保护焊(pulsed gas metal arc welding,P-GMAW)参数进行试焊,焊接过程稳定,焊缝成形良好;采用具有不同优先级的焊接参数存储模式可以实现焊接参数的最优化.展开更多
基金financially supported by the National Natural Science Foundation of China(11202081,11272124,and 11472109)the State Key Lab of Subtropical Building Science,South China University of Technology(2014ZC17)
文摘Global look-up table strategy proposed recently has been proven to be an efficient method to accelerate the interpolation, which is the most time-consuming part in the iterative sub-pixel digital image correlation （DIC） algorithms. In this paper, a global look-up table strategy with cubic B-spline interpolation is developed for the DIC method based on the inverse compositional Gauss-Newton （IC-GN） algorithm. The performance of this strategy, including accuracy, precision, and computation efficiency, is evaluated through a theoretical and experimental study, using the one with widely employed bicubic interpolation as a benchmark. The global look-up table strategy with cubic B-spline interpolation improves significantly the accuracy of the IC-GN algorithm-based DIC method compared with the one using the bicubic interpolation, at a trivial price of computation efficiency.
基金supported by a grant from the Science and Technology Research Project of Jilin Provincial Department of Education(no.JJKH20210260KJ).
文摘Solar energy has attracted a lot of attention because it is clean and has no pollution.However,due to the partially shaded condition,the photovoltaic array cannot work uniformly at the maximum power point,resulting in a large power loss.To improve this problem,the research of the maximum power point tracking(MPPT)algorithm is discussed by scholars.In this paper,an improved particle swarm optimization(PSO)algorithm is proposed to achieve the goal of MPPT,which uses Newton interpolation-assisted conventional PSO.After tracking to the maximum power point,the Newton interpolation method is used to calculate the maximum power point,reduce the number of iterations of the conventional PSO algorithm and reduce the steady-state oscillation.The simulation is carried out in MATLAB^(■)/Simulink^(■)and compared with conventional PSO.The results show that the improved PSO has better tracking ac-curacy and speed than the conventional algorithm,and the initial tracking speed is increased by>30%.
文摘提出了一种基于大步距标定和局部牛顿(Newton)插值的焊接参数自调节算法,不仅可以实现参数调节的一元化,还将数字化焊机的数据库由静态数据库模式转变为具有自学习和自调节功能的动态数据库模式,为数字弧焊电源向智能化方向发展提供了一种有效的演进策略.结果表明,这种算法可以实现数字化焊机参数在较大范围内的连续自调节;用生成的脉冲型熔化极气体保护焊(pulsed gas metal arc welding,P-GMAW)参数进行试焊,焊接过程稳定,焊缝成形良好;采用具有不同优先级的焊接参数存储模式可以实现焊接参数的最优化.
