论文标题
部分可观测时空混沌系统的无模型预测
Dir-MUSIC Algorithm for DOA Estimation of Partial Discharge Based on Signal Strength represented by Antenna Gain Array Manifold
论文作者
论文摘要
检查机器人广泛用于变电站的智能网格监测领域，部分放电（PD）是设备绝缘状态的重要征兆。 PD到达方向（DOA）算法使用传统的光束形成和到达的时间差（TDOA）需要大规模的天线阵列和高计算复杂性，这使得它们难以在检查机器人上实现。为了解决这个问题，提出了一种基于信号强度的PD方向发现的新型定向多重信号分类（DIR-MUSIC）算法，并在本文中设计了微型定向螺旋天线圆形阵列。首先，Dir-Music算法是根据数组歧管特征得出的。该方法使用强度强度信息，而不是TDOA信息，这可能会降低计算难度和数组大小的需求。其次，通过详细模拟讨论了信噪比（SNR）和阵列歧管误差对算法性能的影响。然后根据定位要求，开发，优化了天线阵列及其布置，并表明该算法以6个元素的形式具有可靠的方向调查性能。最后，通过在实际情况下使用设计的螺旋圆阵列来测试该算法的有效性。实验结果表明，PD方向找到误差为3.39°，可以使用变电站中的检查机器人来满足部分放电DOA估计的需求。
Inspection robots are widely used in the field of smart grid monitoring in substations, and partial discharge (PD) is an important sign of the insulation state of equipments. PD direction of arrival (DOA) algorithms using conventional beamforming and time difference of arrival (TDOA) require large-scale antenna arrays and high computational complexity, which make them difficult to implement on inspection robots. To address this problem, a novel directional multiple signal classification (Dir-MUSIC) algorithm for PD direction finding based on signal strength is proposed, and a miniaturized directional spiral antenna circular array is designed in this paper. First, the Dir-MUSIC algorithm is derived based on the array manifold characteristics. This method uses strength intensity information rather than the TDOA information, which could reduce the computational difficulty and the requirement of array size. Second, the effects of signal-to-noise ratio (SNR) and array manifold error on the performance of the algorithm are discussed through simulations in detail. Then according to the positioning requirements, the antenna array and its arrangement are developed, optimized, and simulation results suggested that the algorithm has reliable direction-finding performance in the form of 6 elements. Finally, the effectiveness of the algorithm is tested by using the designed spiral circular array in real scenarios. The experimental results show that the PD direction-finding error is 3.39°, which can meet the need for Partial discharge DOA estimation using inspection robots in substations.
