Surrogate Based Automated Tuning of Microwave Devices and Systems
Surrogate Based Automated Tuning of Microwave Devices and Systems
批准号:
RGPIN-2020-06853
负责人:
Laforge, Paul
金额:
$2.04万
依托单位:
依托单位国家:
加拿大
项目类别:
Discovery Grants Program - Individual
财政年份:
2021
资助国家:
加拿大
项目状态:
已结题
起止时间:
2021-01-01 至 2022-12-31
中文摘要
该研究计划的主要目标是研究基于代理的自动调谐系统,用于调谐非常复杂的微波设备和系统,以取代使用高技能人类专家进行调谐的现有做法。微波设备对于有线和 5G 网络、空中和地面雷达系统、医学成像系统和传感器应用等通信系统的运行至关重要。由于制造和材料公差,这些设备中的大多数需要某种形式的制造后调整,以满足每个系统的特定要求。目前的做法是使用高技能的人类专家来处理具有 50 个调整元件的非常复杂的设备,或者使用计算机辅助调整 (CAT) 系统来处理具有单一调整目标和很少调整元件的简单设备。该研究计划旨在研究新的 CAT 系统,以提高设备和系统性能并减少调整时间和相关费用。该研究计划提出的研究工作是新颖的,因为将首次研究和实施基于代理的调谐算法,实现隐式空间映射(ISM)技术,以完全自动化具有50个调谐元件的非常复杂的器件的调谐,自动调谐具有离散调谐元件的器件,自动调谐具有永久调谐的器件,以及自动调谐具有多种调谐规格的放大器电路。所提出的 CAT 系统将利用众所周知的 ISM 技术,该技术传统上用于微波器件的设计和优化。对于这些调谐系统,在实施 ISM 技术时,制造的微波器件将取代精细模型电磁 (EM) 模拟器结构。在为高素质人员(HQP)提供培训的同时,该研究计划的主要目标是提出、研究、开发和验证:(1)新颖的空间映射替代模型、参数提取和映射技术,用于调谐三维微波结构和具有大量调谐元件(50个调谐元件)的微带电路,(2)空间映射(SM)技术中的新颖更新程序,用于利用离散调谐值和/或永久单向调谐的微波器件,以及(3)新颖使用多目标优化技术的基于代理的微波放大器自动调谐系统。将该技术转让给加拿大工业界将节省培训目前对此类微波设备进行调谐的高技能人类专家的时间和费用。通过集成这些 CAT 系统,设备和系统的制造和组装时间将减少,使行业能够更快地将新设计推向市场,并为现有设计提供更具成本效益的方法。
英文摘要
The main goal of this research program is to investigate surrogate based automated tuning systems for tuning very complex microwave devices and systems to replace the existing practice of using highly skilled human experts to perform the tuning. Microwave devices are essential in the operation of communication systems including wired and 5G networks, air and ground-based radar systems, medical imaging systems and sensor applications. The majority of these devices require some form of post-fabrication tuning due to fabrication and material tolerances to meet the specific requirements of each system. The current practice is to use highly skilled human experts for very complex devices with 50+ tuning elements or to use computer aided tuning (CAT) systems for simple devices with a single tuning objective and few tuning elements. This research program proposes to investigate new CAT systems to improve the device and system performance and decrease the tuning time and associated expenses. The research work proposed in this research program is novel as surrogate based tuning algorithms implementing the implicit space mapping (ISM) technique will be investigated and implemented for the first time to fully automate the tuning of very complex devices with 50+ tuning elements, to automate the tuning of devices with discrete tuning elements, to automate the tuning of devices with permanent tuning, and to automate the tuning of amplifier circuits with multiple tuning specifications. The proposed CAT systems will make use of the well-known ISM technique, which has been traditionally used for the design and optimization of microwave devices. For these tuning systems, the fabricated microwave device will replace the fine model electromagnetic (EM) simulator structure when implementing the ISM technique. While providing training for highly qualified personnel (HQP), the main objectives of this research program are to propose, investigate, develop and validate: (1) novel space mapping surrogate models, parameter extraction and mapping techniques for tuning three dimensional microwave structures and microstrip circuits with a large number of tuning elements (50+ tuning elements), (2) novel update procedures in the space mapping (SM) technique for tuning microwave devices that make use of discrete tuning values and/or permanent, one-way tuning, and (3) novel surrogate based automated tuning systems for microwave amplifiers using multi-objective optimization techniques. The transfer of this technology to Canadian industry will result in a savings in time and expenses for training highly skilled human experts that currently perform the tuning for these types of microwave devices. The fabrication and assembly times will be reduced for devices and systems with the integration of these CAT systems enabling industry a quicker path to market for new designs and more cost effective ways for existing designs.
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Surrogate Based Automated Tuning of Microwave Devices and Systems
-
批准号:RGPIN-2020-06853
-
项目类别:Discovery Grants Program - Individual
-
资助金额:$2.04万
-
财政年份:2022
-
负责人:Laforge, Paul
-
依托单位:
Surrogate Based Automated Tuning of Microwave Devices and Systems
-
批准号:RGPIN-2020-06853
-
项目类别:Discovery Grants Program - Individual
-
资助金额:$2.04万
-
财政年份:2020
-
负责人:Laforge, Paul
-
依托单位:
Surrogate Based Automated Tuning of Microwave Devices and Systems
-
批准号:DDG-2018-00001
-
项目类别:Discovery Development Grant
-
资助金额:$1.09万
-
财政年份:2019
-
负责人:Laforge, Paul
-
依托单位:
Surrogate Based Automated Tuning of Microwave Devices and Systems
-
批准号:DDG-2018-00001
-
项目类别:Discovery Development Grant
-
资助金额:$1.09万
-
财政年份:2018
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负责人:Laforge, Paul
-
依托单位:
Adaptive Microwave Filters and Multiplexers for Communication Systems
-
批准号:372075-2012
-
项目类别:Discovery Grants Program - Individual
-
资助金额:$1.31万
-
财政年份:2016
-
负责人:Laforge, Paul
-
依托单位:
Adaptive Microwave Filters and Multiplexers for Communication Systems
-
批准号:372075-2012
-
项目类别:Discovery Grants Program - Individual
-
资助金额:$1.31万
-
财政年份:2015
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负责人:Laforge, Paul
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依托单位:
Adaptive Microwave Filters and Multiplexers for Communication Systems
-
批准号:372075-2012
-
项目类别:Discovery Grants Program - Individual
-
资助金额:$1.31万
-
财政年份:2014
-
负责人:Laforge, Paul
-
依托单位:
Adaptive Microwave Filters and Multiplexers for Communication Systems
-
批准号:372075-2012
-
项目类别:Discovery Grants Program - Individual
-
资助金额:$1.31万
-
财政年份:2013
-
负责人:Laforge, Paul
-
依托单位:
Adaptive Microwave Filters and Multiplexers for Communication Systems
-
批准号:372075-2012
-
项目类别:Discovery Grants Program - Individual
-
资助金额:$1.31万
-
财政年份:2012
-
负责人:Laforge, Paul
-
依托单位:
PGSB
-
批准号:242965-2003
-
项目类别:Postgraduate Scholarships
-
资助金额:$1.53万
-
财政年份:2004
-
负责人:Laforge, Paul
-
依托单位:
PGSB
-
批准号:242965-2003
-
项目类别:Postgraduate Scholarships
-
资助金额:$1.53万
-
财政年份:2003
-
负责人:Laforge, Paul
-
依托单位:
PGSA
-
批准号:242965-2001
-
项目类别:Postgraduate Scholarships
-
资助金额:$1.26万
-
财政年份:2002
-
负责人:Laforge, Paul
-
依托单位:
PGSA
-
批准号:242965-2001
-
项目类别:Postgraduate Scholarships
-
资助金额:$1.26万
-
财政年份:2001
-
负责人:Laforge, Paul
-
依托单位:
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