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Dynamic Modeling, Predictive Control and Optimization of a Rapid Pressure Swing Adsorption System
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| 자료유형 | 학위논문 |
|---|---|
| 서명/저자사항 | Dynamic Modeling, Predictive Control and Optimization of a Rapid Pressure Swing Adsorption System. |
| 개인저자 | Urich, Matthew D. |
| 단체저자명 | Lehigh University. Chemical Engineering. |
| 발행사항 | [S.l.]: Lehigh University., 2018. |
| 발행사항 | Ann Arbor: ProQuest Dissertations & Theses, 2018. |
| 형태사항 | 144 p. |
| 기본자료 저록 | Dissertation Abstracts International 79-10B(E). Dissertation Abstract International |
| ISBN | 9780438058286 |
| 학위논문주기 | Thesis (Ph.D.)--Lehigh University, 2018. |
| 일반주기 |
Source: Dissertation Abstracts International, Volume: 79-10(E), Section: B.
Adviser: Mayuresh V. Kothare. |
| 요약 | Rapid Pressure Swing Adsorption (RPSA) is a gas separation technology with an important commercial application for Medical Oxygen Concentrators (MOCs). MOCs use RPSA technology to produce high purity oxygen (O2) from ambient air, and provide med |
| 요약 | In this work, a study of dynamic modeling, predictive control and optimization of this single-bed RPSA device is presented. A detailed, nonlinear plant model of the RPSA device is used to study the dynamics of the system as well as design a Mode |
| 요약 | The MPC is implemented onto a lab-scale MOC prototype using Raspberry Pi hardware, and evaluated using several MOC-relevant disturbance scenarios. The MPC is also expanded using piece-wise linear modeling to improve the performance of an RPSA de |
| 요약 | Design and optimization of RPSA systems remains an active area of research, and many PSA models have been used to optimize RPSA cycles in simulation. In this work, a model-free steady state optimization approach using the embedded hardware is pr |
| 일반주제명 | Chemical engineering. Engineering. |
| 언어 | 영어 |
| 바로가기 | 
: 이 자료의 원문은 한국교육학술정보원에서 제공합니다. |
