Robust Model Predictive Control of VAV air-handling units concerning uncertainties and constraints.(Report): An article from: HVAC & R Research
Book Details
PublisherTaylor & Francis Ltd.
ISBN / ASINB003UKYZ1C
ISBN-13978B003UKYZ16
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MarketplaceUnited States 🇺🇸
Description
This digital document is an article from HVAC & R Research, published by Taylor & Francis Ltd. on January 1, 2010. The length of the article is 8533 words. The page length shown above is based on a typical 300-word page. The article is delivered in HTML format and is available immediately after purchase. You can view it with any web browser.
From the author: This paper presents a new strategy for robust temperature control of variable-air-volume (VAV) air-handling units (AHUs) that can deal with dynamic variations and the associated constraints in a straightforward manner. The dynamics of VAV AHUs is described by a first-order-plus-time-delay model, and the dynamic variations of the process gain, time constant, and time delay are described using uncertainty sets. These uncertainty sets are converted into an uncertainty polytope, and then an offline robust model predictive control (MPC) algorithm is employed for robust control design. The design procedure is illustrated step by step. An operating mode identification scheme is also developed based on the operating characteristics of VAV AHUs in order to reduce the size of uncertainty sets and, hence, to improve the control performance. Case studies are performed on a simulated VAV AHU. Results are presented to show that the proposed control strategy is able to enhance robustness without much user intervention, reduce the control activities, and satisfy constraints when implemented in the temperature control of VAV AHUs.
Citation Details
Title: Robust Model Predictive Control of VAV air-handling units concerning uncertainties and constraints.(Report)
Author: Gongsheng Huang
Publication:HVAC & R Research (Magazine/Journal)
Date: January 1, 2010
Publisher: Taylor & Francis Ltd.
Volume: 16 Issue: 1 Page: 15(19)
Article Type: Report
Distributed by Gale, a part of Cengage Learning
From the author: This paper presents a new strategy for robust temperature control of variable-air-volume (VAV) air-handling units (AHUs) that can deal with dynamic variations and the associated constraints in a straightforward manner. The dynamics of VAV AHUs is described by a first-order-plus-time-delay model, and the dynamic variations of the process gain, time constant, and time delay are described using uncertainty sets. These uncertainty sets are converted into an uncertainty polytope, and then an offline robust model predictive control (MPC) algorithm is employed for robust control design. The design procedure is illustrated step by step. An operating mode identification scheme is also developed based on the operating characteristics of VAV AHUs in order to reduce the size of uncertainty sets and, hence, to improve the control performance. Case studies are performed on a simulated VAV AHU. Results are presented to show that the proposed control strategy is able to enhance robustness without much user intervention, reduce the control activities, and satisfy constraints when implemented in the temperature control of VAV AHUs.
Citation Details
Title: Robust Model Predictive Control of VAV air-handling units concerning uncertainties and constraints.(Report)
Author: Gongsheng Huang
Publication:HVAC & R Research (Magazine/Journal)
Date: January 1, 2010
Publisher: Taylor & Francis Ltd.
Volume: 16 Issue: 1 Page: 15(19)
Article Type: Report
Distributed by Gale, a part of Cengage Learning
