基于自适应火烈鸟算法的无输出变压器平衡控制应用  

Application of output transformer less balance controlbased on adaptive flamingo search algorithm

作　　者：胡飓风 莫愿斌[1,2] HU Jufeng;MO Yuanbin(School of Artificial Intelligence,Guangxi Minzu University,Nanning 530006,China;Guangxi Key Laboratory of Hybrid Computation and IC Design Analysis,Nanning 530006,China)

机构地区：[1]广西民族大学人工智能学院,广西南宁530006 [2]广西混杂计算与集成电路设计分析重点实验室,广西南宁530006

出　　处：《现代电子技术》2023年第19期140-148,共9页Modern Electronics Technique

基　　金：国家自然科学基金项目(21466008)资助;广西自然科学基金项目(2019GXNSFAA185017);广西民族大学科研项目(2021MDKJ004)。

摘　　要：为提高无输出变压器功率放大电路的稳定性及可靠性,提出一种自适应火烈鸟搜索优化算法,对其中点电压进行平衡控制。该算法采用Sigmoid函数控制迁徙火烈鸟的惯性权重系数,进行非线性自适应变化,平衡粒子的全局搜索能力和局部探索能力;采用双曲正切函数控制觅食火烈鸟的扩散因子,平衡粒子的寻优速度和收敛精度;在算法后期引入基于中心距的种群变异,提高种群多样性,同时提高算法的精度。基于三种类型的测试函数对所提算法的性能进行验证,并与其他4种典型的群智能优化算法做了对比。结果显示,所提算法在寻优速度和收敛精度上均具有较大的提升。接着利用齿轮系设计问题对算法进行工程测试,最后,对改进算法进行无输出变压器功率放大电路仿真测试,结果证明了算法的优越性。In order to improve the stability and reliability of the power amplifier circuit of the output transformer less(OTL),an adaptive flamingo search optimization algorithm is proposed to balance the midpoint voltage.In the algorithm,the Sigmoid function is used to control the inertia weight coefficient of migrating flamingos to perform nonlinear adaptive changes,so as to balance the global search ability and local exploration ability of particles.The diffusion factor of foraging flamingos is controlled by hyperbolic tangent function to balance the optimization speed and convergence accuracy of particles.Population variation based on center distance is introduced in the later stage of the algorithm to increase population diversity and improve the accuracy of the algorithm.The performance of the proposed algorithm is verified on the basis of the three types of test functions.In addition,the proposed algorithm is contrasted with the other four typical swarm intelligence optimization algorithms.The results show that the proposed algorithm has great improvement in optimization speed and convergence accuracy.Then the algorithm is subjected to engineering test by the gear train design(GTD)problem.Finally,the improved algorithm is tested by the simulation of the power amplifier circuit of OTL.The results show the superiority of the algorithm.

关 键 词：无输出变压器 火烈鸟搜索算法 惯性权重 扩散因子 平衡控制 SIGMOID函数 

分 类 号：TN876-34[电子电信—信息与通信工程] TP18[自动化与计算机技术—控制理论与控制工程]