用遗传算法实现信号转换电路的非线性校正

Nonlinear Correction of Signal Conversion Circuit Using Genetic Algorithm

采用了遗传算法的最新成果 ,提出了一种新颖的基于实数编码的改进遗传算法用以校正信号转换电路的非线性误差。该算法采用基于代沟最小的代选择模型 ,选用 BLX-α混合交叉算子和非一致变异算子 ,算法简单、鲁棒性强、优化效率高。仿真和实验表明 ,用本文提出的方法对信号转换电路进行非线性校正不仅能够自动搜索到最优多项式 ,而且精度高于最小二乘法。该算法同样适用于传感器等其他电子测量元件的非线性校正。

The latest achievements of genetic algorithms are adopted and a novel improved genetic algorithms (RCIGA) is proposed based on real coding to correct nonlinear error of signal conversion circuit. That is, a generation-alternation model based the minimal generation gap (MGP), blend crossover (BLX-α) and non-uniform mutation operators are employed. RCIGA has the advantages of simple algorithm, strong robustness and high optimization efficiency. Simulational results and application show that RCIGA has the capability of searching the optimization polynomial and the higher nonlinear correction precision than least square method. And RCIGA provides an important reference value for the nonlinear correction of transducers and other electronical measurement components.