Intelligent Control Systems and Mechatronics for Green Technology

该项目的目的是为太阳能热门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。** 智能技术将基于基于概率的策略（例如，贝叶斯理论）和变结构控制理论。建议的研究提供了改进的控制和估计精度，鲁棒性 ** 外部干扰，可靠性和安全性。所开发的技术将有助于处理控制技术和机电一体化系统的可持续或“绿色"工业。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，以帮助他们保持市场竞争力。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一体化系统的培训。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 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.