An Radio Frequency Impedance Matching Control Benchmark System for Advanced Control Strategies Evaluation

Author:

Rodríguez Carlos A.1,Viola Jairo2,Chen YangQuan2

Affiliation:

1. Centro de Investigación Científica y de Educación Superior de Ensenada (CICESE), Ensenada, Mexico

2. University of California, Merced, California, United States

Abstract

Abstract An impedance matching network is mandatory between the source and the load to obtain the maximum power transfer in a system. For example, in the plasma processing technology widely used in semiconductor wafer processing, guaranteeing the maximum transference of power is the main goal. This paper presents the problem definition and guidelines for a radio-frequency (RF) impedance matching benchmark. This benchmark system we developed in public domain is useful in studying and evaluating various impedance patching algorithms fairly. The goal is to match the impedance of the source with its complex conjugate of the load in a minimum time. The reflection coefficient is used as an evaluation metric to measure the reflected power, which has to be zero to guarantee the maximum power transfer. Some impedance matching controllers proposed in the literature are tested as sample applications on this benchmark in a fair manner to check and evaluate its robustness and stability performance against different initial conditions, load conditions and perturbations on the impedance matching network control system. We also suggested a novel Feedforward Control (FF) profile generation method with a primitive sample feedback control strategy (proportional-integral (PI) controller) as a baseline reference for the benchmark.

Publisher

American Society of Mechanical Engineers

Cited by 5 articles. 订阅此论文施引文献 订阅此论文施引文献,注册后可以免费订阅5篇论文的施引文献,订阅后可以查看论文全部施引文献

1. Modeling and control of L-type network impedance matching for semiconductor plasma etch;Journal of Vacuum Science & Technology B;2024-03-01

2. A Systematic Method for the Selection of Feedback Variables in MIMO RF Impedance Matching Systems;2023 American Control Conference (ACC);2023-05-31

3. Global Monotonic Radio-Frequency Impedance Matching Via Control Lyapunov Function Under Safety Constraints;2022 IEEE 61st Conference on Decision and Control (CDC);2022-12-06

4. Smart Predictive Maintenance Enabled by Digital Twins and Smart Big Data: A New Framework;2022 IEEE 2nd International Conference on Digital Twins and Parallel Intelligence (DTPI);2022-10-24

5. Radio Frequency Impedance Matching Based on Control Lyapunov Function;2022 American Control Conference (ACC);2022-06-08

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