基于遗传算法的振荡器谐振回路的参数选择

The Optimal Selection of Oscillator Resonant Circuit Parameters Based on Genetic Algorithm

针对振荡器谐振回路参数选择较多依赖于经验的问题，提出从振荡器的等效电路出发，得到描述振荡器的非线性微分方程，通过引入随机项来描述振荡器的内部电噪声，由此建立用于分析振荡器行为的非线性随机微分方程；并运用遗传算法对振荡器谐振回路进行参数优选，得到适应度以相位噪声最小为优化准则的参数，用该参数进行数值研究，结果表明了该方法的有效性，为振荡器的分析和谐振回路参数的优选提供了一种新方法。

Since the selection of oscillator resonant circuit parameters depends more on experiences, a nonlinear stochastic differential equation is proposed for oscillator analysis approach. The application of genetic algorithms to optimal selection of oscillator resonant circuit parameters is discussed, the best resonant circuit parameters is obtained, whose fitness function is based on the least phase noise. Numerical solution research with this parameter can acquire the least phase noise, which indicates validity of the method. A new method is proposed for oscillator analysis and optimal selection of oscillator resonant circuit parameters.