An Improved Gap Metric and Stability Margin-Based Analysis to Control Heating, Ventilating, and Air Conditioning Systems Based on Multiple-Model and Model Order Reduction

International Journal of Smart Electrical Engineering

مقالات آماده انتشار، پذیرفته شده، انتشار آنلاین از تاریخ 30 شهریور 1402

نوع مقاله: Research Paper

شناسه دیجیتال (DOI): 10.30495/ijsee.2023.1993140.1279

نویسندگان

pouya Rikhtehgar¹؛ Mohammad Haeri^{* 2}

¹Department of Mechanical, Computer, and Electrical Engineering, Science and Research Branch, Islamic Azad University, Tehran, Iran

²EE, Sharif U. of T.

چکیده

To address computational complexity in heating, ventilating, and air conditioning systems, two general reduced multiple model control designs based on gap metric, stability margin, and model order reduction are proposed. The difference between two designs lies in the sequence of implementing model order reduction and multiple model techniques, resulting in distinct control approaches. As the number and location of reduced multiple models are not necessarily the same in two cases, the selected models will also be different. This could make one approach preferable to another in terms of closed-loop performance. Therefore, we introduce a model selection criterion to predict the most suitable approach for improving indoor thermal comfort and air quality in considered system. This criterion is based on maximum gap metric, maximum stability margin, and number of nominal models. Finally, two new approaches called OR-MM and MM-OR and a new criterion called MSC are proposed. To validate the effectiveness of our method, we conduct computer simulations that demonstrate their achievements.

کلیدواژه‌ها

Heating, ventilating, and air conditioning (HVAC) system؛ Air quality؛ Indoor environment, Outdoor environment, Model order reduction, Multiple models