Intelligent Control Systems for Green Technology

该项目的目的是为太阳能热窗和车库门开发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）和变结构理论。所提出的研究提供了改进的控制和估计精度，鲁棒性到外部干扰，可靠性和安全性。所开发的技术将有助于可持续或“绿色”行业处理控制技术和机电一体化系统。此外，该技术将被转移到清洁能源行业，以确保更可靠，效率和成本效益的解决方案，以帮助他们保持在市场上的竞争力。此外，该项目还将为一名研究生和一组本科生提供建模、传感和控制方面的先进机电一体化系统培训。这些高素质的人员（HQP）将有助于加拿大自动化和制造业的劳动力。

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.