基于遗传算法的PWM斩波变换器优化设计

基于遗传算法对斩波变换器的数学模型中的优化目标及约束因子进行分析,将每半个工频周期开关k次的斩波变换器的输出电压表示为傅里叶级数的形式,以最优开关角度为控制量,输出电压和谐波含量最小为目标,构成多目标优化问题。利用遗传算法求解非线性规划问题的优势,将遗传算法用于斩波变换器控制参数(开关角)的优化设计。优化结果表明,采用改进的遗传算法用于斩波变换器控制参数(开关角)的优化设计,能取得令人满意的结果。

Optimization Design Based on Genetic Algorithm for PWM Chopper Regulators

The mathematical model and the restricting fac to rs of the mathematical model of chopper regulators are analysed.The output vol tage of the AC chopper with k pulses per half cycle is written in terms of s witching angles using Fourier series, and the best switching angles are identifi ed with the dual objectives of harmonic elimination and output voltage regulatio n.A new approach applying the genetic algorithm to the optimization control pa rameters(switching angles) of chopper regulators, which has the advantage of s olving non-liner programming problems, is presented.The optimization result s hows that applying the genetic algorithm to the optimization design of chopper r egulators can be a very satisfying method.