基于混沌加权粒子群算法的频率计权设计

Frequency weighting design based on chaotic weighted particle swarm algorithm

针对声级测量中利用传统双线性变换法设计频率计权滤波器时在标称频率高频段出现的误差问题,采用一种基于混沌加权粒子群算法的设计方法,进行了频率计权的优化设计。首先对频率计权的幅频响应的误差来源展开分析研究,然后根据分析结果设定频率计权滤波器的优化对象与适应度函数,从而构造出基于混沌加权粒子群的频率计权数字滤波器优化模型,并求得最佳解。经仿真实验验证,给出的优化算法准确度更高,且最大误差可限制在0.005 dB范围内,满足国家标准中对1级声级计的设计要求,适用于声级测量中的频率计权,也可用于其他领域的滤波器设计。

Aiming at the error problem in the high frequency band of the standard frequency when the traditional bilinear transformation method is used to design the frequency weighting filter in the sound level measurement, a frequency weighting design method based on the chaotic weighted particle swarm algorithm is adopted to realize the frequency weighting Optimize the design. First, analyze and study the error source of the frequency-weighted amplitude-frequency response, and then design the optimization object and fitness function of the frequency-weighting filter according to the analysis results, and construct a frequency-weighted digital filter optimization model based on chaotic weighted particle swarms, And seek the optimal solution. The simulation experiment shows that the optimization algorithm proposed has high accuracy and the error can be controlled within 0.005 dB, which meets the design requirements of the first class sound level meter in the national standard, and It is suitable for frequency weighting in sound level measurement and filter design in other fields.