基于一种改进仿人智能控制算法的双向DC/DC变换器研究

Research of Bi-directional DC/DC converter based on an improved human-simulated intelligent control algorithm

由于仿人智能控制原型算法存在局限性,难以准确反映人在控制过程中对于系统响应特性的预见性和采用的控制决策。在此基础上,文章提出采用一种改进仿人智能控制算法,即根据误差的大小选择改变增益系数,提高了控制器预测系统响应的动态变化趋势,解决了系统在更高控制层上高精度与快速性不能统一兼顾的问题。并搭建Matlab/Simulink仿真系统及试验平台,验证了算法优越性。

There are some limitations in the prototype algorithm of Human-Simulated Intelligent Control, it is difficult to accurately reflect the predictability and control decision of the system in the control process. On the basis, the paper proposes an improved Human-Simulated Intelligent Control algorithm, which changes the gain coefficient according to the size of the error, improves the dynamic trend of the controller prediction system response, and solved the high precision and the speed of the system can not be unified problem in the higher control level. And builds Matlab/Simulink simulation system and experiment platform proved the superiority of the algorithm.