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首先分析了常用的2种同期捕捉算法:算法1是利用相角差与滑差及滑差加速度的关系进行合闸时刻预测,算法2是基于相角差序列、运用现代预测理论预测合闸时刻。对这2种算法进行了改进。针对算法1,采用插值原理对较短时间内的相角差进行估计,并判断估计值是否满足合闸条件,如果条件满足,则发合闸命令,否则继续执行算法。针对算法2,提出了加入残差分析的抛物线拟合预测算法,比线性拟合更加精确。改进了对算法有直接影响的相角差量测系统,即通过方波过零比较获取最原始的数据,通过插值计算估计值来增加数据密度。实验证明改进后的算法使得同期合闸质量有了明显提高。
Firstly, we analyze two kinds of commonly used synchronization capture algorithms: Algorithm 1 is to predict the closing time by the relationship between phase angle difference and slip and slip acceleration. Algorithm 2 is based on the phase angle difference sequence and predicts the closing time by using the modern prediction theory . The two algorithms have been improved. For algorithm 1, the interpolation principle is used to estimate the phase angle difference in a short period of time and judge whether the estimated value meets the closing condition. If the condition is satisfied, the closing command is issued, otherwise, the algorithm continues to be executed. For Algorithm 2, a parabola fitting prediction algorithm with residual analysis is proposed, which is more accurate than linear fitting. The phase angle difference measurement system which has a direct influence on the algorithm is improved. That is to say, the most original data is obtained by comparison of the square wave zero-crossings and the data density is calculated by interpolating the estimation value. Experiments show that the improved algorithm has improved the quality of closing over the same period.