基于改进MMAS算法的双有源桥变换器PI参数优化  

PI Parameters Optimization of Dual Active Bridge Converter Based on Improved MMAS Algorithm

作　　者：林安娜 谢运祥[1] LIN Anna;XIE Yunxiang(School of Electric Power Engineering,South China University of Technology,Guangzhou 510640,China)

机构地区：[1]华南理工大学电力学院,广州510640

出　　处：《电源学报》2021年第3期25-32,共8页Journal of Power Supply

基　　金：国家自然科学基金资助项目(51577074)。

摘　　要：为了实现双有源桥DAB(dual active bridge)变换器中PI控制器的参数优化,提出了一种改进最大最小蚂蚁系统MMAS(max-min ant system)的PI参数优化方法。该方法以DAB变换器的时间与误差绝对值乘积积分性能指标为目标函数,通过优化节点能见度和信息素更新机制,在提高全局搜索能力的同时保证了较快的收敛速度,利于求得全局最优解,克服了传统蚁群算法ACA(ant colony algorithm)易发生的早熟收敛现象。采用改进MMAS算法对DAB变换器进行PI参数优化,并与Z-N法和传统ACA的优化效果进行对比。仿真和实验结果表明,相比于Z-N法和传统ACA,基于改进MMAS算法优化PI参数的DAB变换器具有更好的动态响应。A method of PI parameters optimization based on the improved max-min ant system(MMAS)algorithm is put forward to achieve the parameters optimization of a PI controller in a dual active bridge(DAB)converter.This method takes the integral of time-weighted absolute error of the DAB converter as its objective function.Through optimizing the node visibility and the pheromone-updating mechanism,it improves the global searching capability while keeping a faster convergence speed,which is beneficial to find the global optimum and avoids the premature convergence that always takes place in the traditional ant colony algorithm(ACA).The PI parameters of the DAB converter are optimized using the improved MMAS algorithm,and the optimization effect is compared between the MIMA algorithm,Z-N method,and the traditional ACA.Simulation and experimental results show that compared with the results obtained using the Z-N method and traditional ACA,the DAB converter which is based on the improved MMAS algorithm for PI parameters optimization had better dynamic responses.

关 键 词：双有源桥 PI控制器 参数优化 最大最小蚂蚁系统 蚁群算法 

分 类 号：TM46[电气工程—电器]