Intelligent Control Systems for Green Technology

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。智能技术将基于机器学习策略(例如，人工神经网络)和可变结构理论。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。开发的技术将有助于处理控制技术和机电系统的可持续或绿色行业。此外，该技术将被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，以帮助它们在市场上保持竞争力。此外，拟议的项目将为毕业生和本科生提供建模、传感和控制方面的培训。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。

The purpose of this project is to develop intelligent control and estimation techniques for solar thermalwindows and garage doors that optimize energy efficiency while ensuring safe and reliable operation. Theintelligent techniques will be based on machine learning strategies (e.g., artificial neural networks) and variablestructure theory. The proposed research offers improvements to control and estimation accuracy, robustness toexternal disturbances, reliability, and safety. The developed techniques will help sustainable or 'green'industries that deal with control techniques and mechatronic systems. Furthermore, the technology will betransferable to clean energy industries to ensure more reliability, efficiency, and cost-efficient solutions to helpthem remain competitive in the market. In addition, the proposed project will provide training for a graduatestudent and team of undergraduates on advanced mechatronic systems in modeling, sensing, and control. Thesehighly qualified personnel (HQP) will contribute to the workforce of Canadian automation and manufacturingindustries.