摘要
采用一种基于免疫遗传算法IGA(ImmuneGeneticAlgorithm)的逆变器控制策略对逆变器进行控制,在保留普通遗传算法(GA)优良特性的同时,针对控制对象的具体特点,建立了相关的数学模型,使用疫苗、浓度函数和抗体选择函数对进化过程进行优化,提高了算法收敛速度和局部收敛能力。设计和搭建了基于数字信号处理器(DSP)的实验平台,使用C语言编写实验程序,实现了控制策略。对实验平台的硬件结构作了详细说明,针对绝缘栅双极晶体管(IGBT)驱动模块EXB841的缺点设计了改进措施;介绍了软件设计流程。将采用IGA的逆变器输出波形与采用常规控制策略的逆变器输出波形进行了比较,理论分析和实验结果证明了该算法的可行性与有效性。
A control strategy based on the IGA（Immune Genetic Algorithm） is put forward for inverters. With excellent characteristics of the common GA（Genetic Algorithm） reserved,a concerned math model is established according to concrete characteristics of the controlled object,and the convergence speed and the partial convergence capability are improved by using the bacterin,concentration functions and the antibody selection function for the evolution process optimization. An experimental platform based on the DSP（Digital Signal Processor） is designed and built up. C language is used to write the experimental program for realizing the control strategy. The hardware structure is explained in detail. Furthermore,improvement measures for EXB841,which is the drive module of the IGBT （Insulated Gate Bipolar Transistor）,are presented and the software design flow is introduced. Output waveforms of the inverter with the IGA and with the routine control strategy are compared. The theoretic analysis and experiment results prove the feasibility and validity of the algorithm.
出处
《电力自动化设备》
EI
CSCD
北大核心
2006年第6期40-43,共4页
Electric Power Automation Equipment
