Intelligent Control Systems and Mechatronics 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估计技术，以优化能源效率，同时确保安全可靠地运行。智能技术将基于基于概率的策略（如贝叶斯理论）和变结构控制理论。该研究提高了控制和估计精度、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，以确保更高的可靠性、效率和成本效益的解决方案，帮助他们保持在市场上的竞争力。此外，拟议的项目将为一名研究生和一组本科生提供先进机电一体化系统建模、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 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.