基于免疫遗传算法的逆变器控制  

The Research of Inverter’S Control Based on Immune Genetic Algorithm

作　　者：袁佳歆[1] 陈柏超[1] 田翠华[1] 贾嘉斌[1] 

机构地区：[1]武汉大学电气工程学院,湖北省武汉市430072

出　　处：《中国电机工程学报》2006年第5期110-118,共9页Proceedings of the CSEE

摘　　要：随着电力电子技术的发展,逆变技术被越来越广泛的应用于生活的各个领域。其中逆变器控制的研究是目前研究焦点之一,并出现了许多有效的控制策略。但什么样的开关控制才能达到最优控制?提出采用免疫遗传算法来求取逆变器开关最优控制序列,目的是在保留遗传算法原有优良特性前提下,力图有选择、有目的地利用实际对象的特征信息来优化进化过程,使之达到快速、准确和高效的目的。给出了具体操作流程,并通过编写C语言算法程序进行仿真试验,证明该算法能够在25次迭代内快速收敛到最优解,而且与常规控制策略所得出解的适应度有较大程度的提高。搭建了一个DSP动态试验平台进行模型实验,仿真和试验的结果证明该算法的可行性和有效性。Inversion technology is widely used in various fields, Inverter control law is one of the most focus researches at presents, meanwhile lots of effective control laws were appeared. Which is the optimum control law？ To find out the optimum control law, Immune Genetic Algorithm was presented in this paper. The Immune Genetic Algorithm not only maintains ,＇the merits of ,the Genetic Algorithm, but also makes full use＇ of character Of the objects to optimize the evolution process. In this Way： the Immtine Genetic Algorithm can obtain its accuracy, efficiency and speed. And in this paper the algorithm＇s operation proceedings was put forward. By programming C language, algorithm ：procedure carry on simulation experiments, it was proved,＇that thealgorithm quickly converged,to the best： solution, and the solution＇s fitness made great improvrment compared with the traditional control strategies. Finally, the experimental platform based On DsP was built and adequate experiments were carred out. The Algorithm＇s feasibility and validity is proved by the simulation and experiments.

关 键 词：电力电子 免疫遗传算法 逆变器 控制策略 

分 类 号：TM711[电气工程—电力系统及自动化]