分层遗传算法在DC/DC变换器中的应用

DC／DC变换器为强非线性、时变及不确定系统．由于其自身的特点，使得DC／DC变换器的控制研究工作比较困难．文中提出一种用遗传算法优化的模糊控制器，控制DC／DC变换器．对传统的遗传算法进行改进．使之优化能力更好．由仿真和实际试验证明，经过改进的遗传算法优化的模糊控制器，对DC／DC变换器的控制效果更显著，动态特性和静态特性都得到进一步改善．同时说明所介绍的自适应遗传算法的寻优能力更好，收敛速度也更快．

The Control of DC/DC Converter by Applying a Hiererchical Genetic Algorithm-Optimized Fuzzy Controller

DC/DC converter is a quite nonlinear and time-varying and uncertain system. Owing to the characteristic of itself, its control and study are fairly difficult. For its control, the authors put forward a genetic algorithm optimized fuzzy controller. This genetic algorithm is an improvement of conventional genetic algorithm and thus shows a better ability of optimization. As proved by simulation and actual test, DC/DC converter can be better controlled by this improved fuzzy controller, namely, the genetic algorithm-optimized fuzzy controller, its dynamic and static characteristics are all further improved. This result also accounts for that the adaptive genetic algorithm described here has a better ability of optimization and a faster convergence speed.