针对传统的移动多目标跟踪算法计算量大、实时性差的问题,提出了一种新的基于阵列天线的空间多目标跟踪算法。算法利用阵元个数相对于信源数目的自由度,设计一个高阶的零陷空域滤波器组,对空间干扰源进行陷波,并对空间波束成形后的信号...针对传统的移动多目标跟踪算法计算量大、实时性差的问题,提出了一种新的基于阵列天线的空间多目标跟踪算法。算法利用阵元个数相对于信源数目的自由度,设计一个高阶的零陷空域滤波器组,对空间干扰源进行陷波,并对空间波束成形后的信号进行自适应跟踪,估计出多个移动目标的波达方向(direction of arrival,DOA)。仿真结果表明,此算法精度较高,计算复杂度较低,为空间移动多目标的实时跟踪提供了一种新方法。展开更多
For the characteristics of wind power generation system is multivariable, nonlinear and random, in this paper the neural network PID adaptive control is adopted. The size of pitch angle is adjusted in time to improve ...For the characteristics of wind power generation system is multivariable, nonlinear and random, in this paper the neural network PID adaptive control is adopted. The size of pitch angle is adjusted in time to improve the perfomance of power control. The PID parameters are corrected by the gradient descent method, and Radial Basis Functiion （RBF） neural network is used as the system identifier in this method. Sinlation results show that by using neural network adaptive PID controller the generator power control can inhibit effectively the speed and affect the output prover of generator. The dynamic performnce and robustness of the controlled system is good, and the peformance of wind power system is improved.展开更多
The beam pointing is the most crucial issue for beam combining to achieve high energy laser output. In order to meet the turbulence situation, a beam pointing method that cooperates with the stochastic parallel gradie...The beam pointing is the most crucial issue for beam combining to achieve high energy laser output. In order to meet the turbulence situation, a beam pointing method that cooperates with the stochastic parallel gradient descent(SPGD) algorithm is proposed. The power-in-the-bucket(PIB) is chosen as the merit function, and its radius changes gradually during the correction process. The linear radius and the exponential radius are simulated. The results show that the exponential radius has great promise for beam pointing.展开更多
文摘针对传统的移动多目标跟踪算法计算量大、实时性差的问题,提出了一种新的基于阵列天线的空间多目标跟踪算法。算法利用阵元个数相对于信源数目的自由度,设计一个高阶的零陷空域滤波器组,对空间干扰源进行陷波,并对空间波束成形后的信号进行自适应跟踪,估计出多个移动目标的波达方向(direction of arrival,DOA)。仿真结果表明,此算法精度较高,计算复杂度较低,为空间移动多目标的实时跟踪提供了一种新方法。
基金supported by the Science and Technology Major Special Projects Gansu(No.0801GKDA058)
文摘For the characteristics of wind power generation system is multivariable, nonlinear and random, in this paper the neural network PID adaptive control is adopted. The size of pitch angle is adjusted in time to improve the perfomance of power control. The PID parameters are corrected by the gradient descent method, and Radial Basis Functiion （RBF） neural network is used as the system identifier in this method. Sinlation results show that by using neural network adaptive PID controller the generator power control can inhibit effectively the speed and affect the output prover of generator. The dynamic performnce and robustness of the controlled system is good, and the peformance of wind power system is improved.
基金supported by the Changchun Technology Project(No.2013270)
文摘The beam pointing is the most crucial issue for beam combining to achieve high energy laser output. In order to meet the turbulence situation, a beam pointing method that cooperates with the stochastic parallel gradient descent(SPGD) algorithm is proposed. The power-in-the-bucket(PIB) is chosen as the merit function, and its radius changes gradually during the correction process. The linear radius and the exponential radius are simulated. The results show that the exponential radius has great promise for beam pointing.
