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作 者:李石 LI Shi(School of Information Electronics Technology,Jiamusi University,Jiamusi Heilongjiang 154000,China)
机构地区:[1]佳木斯大学信息电子技术学院,黑龙江佳木斯154000
出 处:《计算机仿真》2020年第5期358-362,共5页Computer Simulation
摘 要:针对当前方法网络测试仪器运行误差测量所用时间较长,导致误差测量效率低、测量结果不够精准的问题,提出基于遗传算法的网络测试仪器运行误差精准测量方法优化仿真。利用网络测试仪器运行误差的时间偏移来对误差做分解,根据分解结果和误差样本序列建立误差预测模型,并计算不同时间尺度网络测试仪器运行误差信息的分量值,构建网络测试仪器运行误差优化模型。在此基础上,利用误差采样时刻计算误差测量所用的时间,同时可以获取相对误差,相对误差可以当作网络测试仪器运行的性能指标,通过网络测试仪器运行参数的控制对象计算误差优化的目标函数,与运行系统方程的计算结果相结合,能够求得误差优化模型中的最优解,实现网络测试仪器运行误差的优化测量。实验结果表明,提出方法在对网络测试仪器运行误差测量时,测量用时较短,效率较高,并且误差测量系数的平均值较小,误差测量结果的精准度较高。This paper proposed an optimization simulation for network test instrument operation error precision measurement method based on genetic algorithm. The time offset of the running error of network test instrument was used to decompose the error. According to the decomposition result and the error sample sequence, the error prediction model was built and the component values of network test instrument running error information at different time scales were calculated. The model to optimize the operation error of network test instrument was constructed. On this basis, the error sampling time was used to calculate the time spent in the error measurement, and the relative error was also obtained. The relative error could be regarded as the performance index of network test instrument operation. The objective function of error optimization was calculated by the control object of network test instrument operating parameter. Combined with the calculation results of the equation of running system, the optimal solution in the error optimization model could be found. Thus, the optimal measurement of network test instrument running error was achieved. Simulation results show that, when measuring the operation error of network testing instruments, the proposed method has shorter measurement time and higher efficiency. Meanwhile, the average value of error measurement coefficient is smaller and the accuracy of error measurement result is higher.
分 类 号:TP13[自动化与计算机技术—控制理论与控制工程]
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