基于人工智能辅助拓扑生成算法的谐波调谐功率放大器

0 ENGINEERING, ELECTRICAL & ELECTRONIC
Pei Wen Shu;Xinyu Zhou;Tushar Shama;Liheng Zhou;Wing Shing Chan
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引用次数: 0

摘要

数值优化技术在微波电路中得到了广泛的应用,但由于其局限于固定的拓扑结构,限制了其可实现的性能,并且存在次优设计的问题。本文提出了一种新颖的拓扑算法,可以在不预先选择拓扑的情况下自动合成满足规定规格的实用电路布局。为了实现这一目标,该方法将像素化电路生成策略与差分进化算法(DEA)相结合。在控制谐波响应的同时,还提出了一个新的目标函数来匹配基频阻抗。宽带高效功率放大器的仿真与实测结果吻合良好,验证了该算法的有效性。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Harmonic-Tuned Power Amplifier Using Artificial Intelligence-Assisted Topology Generation Algorithm
Numerical optimization techniques are widely used in microwave circuits but are limited to fixed topologies, constraining their achievable performance and suffering from suboptimal designs. This letter presents a novel topological algorithm that can automatically synthesize practical circuit layouts that can satisfy prescribed specifications without preselecting the topology. To achieve this goal, the proposed method integrates a pixelated circuit generation strategy with the differential evolution algorithm (DEA). A new objective function is also developed to match the fundamental impedances while controlling harmonic responses. Good agreement between simulation and measurements for a wideband high-efficiency power amplifier (PA) validates the proposed algorithm.
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