Intelligent Control Systems for Green Technology

该项目的目的是开发太阳能热窗和车库门的智能控制和评估技术，以优化能源效率，同时确保安全可靠地运行。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。所提出的研究改进了控制和估计精度，对外部干扰的鲁棒性，可靠性和安全性。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”工业。此外，这项技术将被转移到清洁能源行业，以确保更高的可靠性、效率和成本效益的解决方案，帮助他们在市场上保持竞争力。此外，该计划将为一名研究生和一组本科生提供先进机电系统建模、传感和控制方面的培训。这些高素质人才（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.