Intelligent Control Systems and Mechatronics for Green Technology

绿色技术的智能控制系统和机电一体化

• 批准号: 523783-2018
• 负责人: Gadsden, StephenAndrew
• 金额: $ 0.91万
• 依托单位: University of Guelph
• 依托单位国家: 加拿大
• 项目类别: Engage Plus Grants Program
• 财政年份: 2018
• 资助国家: 加拿大
• 起止时间: 2018-01-01 至 2019-12-31
• 项目状态: 已结题
• 来源: https://www.nserc-crsng.gc.ca/ase-oro/Details-Detailles_eng.asp?id=651316
• 关键词: Intelligent; Control; Systems; Mechatronics; Green

The purpose of this project is to develop intelligent control and estimation techniques for solar thermal**windows and garage doors that optimize energy efficiency while ensuring safe and reliable operation. The**intelligent techniques will be based on probability-based strategies (e.g., Bayes theory) and variable structure**control theory. The proposed research offers improvements to control and estimation accuracy, robustness to**external disturbances, reliability, and safety. The developed techniques will help sustainable or 'green'**industries that deal with control techniques and mechatronics systems. Furthermore, the technology will be**transferable to clean energy industries to ensure more reliability, efficiency, and cost-efficient solutions to help**them remain competitive in the market. In addition, the proposed project will provide training for a graduate**student and team of undergraduates on advanced mechatronics systems in modeling, sensing, and control.**These highly qualified personnel (HQP) will contribute to the workforce of Canadian automation and**manufacturing industries.

该项目的目的是开发太阳能热窗户和车库门的智能控制和评估技术，以优化能源效率，同时确保安全可靠的运行。**智能技术将基于概率策略(例如，贝叶斯理论)和变结构**控制理论。拟议的研究在控制和估计精度、对**外部干扰的稳健性、可靠性和安全性方面提供了改进。开发的技术将帮助处理控制技术和机电系统的可持续或绿色**行业。此外，这项技术将**转移到清洁能源行业，以确保更可靠、更高效和更具成本效益的解决方案，帮助**它们在市场上保持竞争力。此外，拟议的项目将为**研究生和本科生团队提供建模、传感和控制方面的先进机电系统方面的培训。**这些高素质的人员(HQP)将为加拿大自动化和**制造业的劳动力做出贡献。