Studies on Mechatronics: Optimization Methods for Gas Compressors
OPEN ACCESS
Author / Producer
Date
2021
Publication Type
Student Paper
ETH Bibliography
yes
Citations
Altmetric
OPEN ACCESS
Data
Rights / License
Abstract
This paper reviews several methods that can be used to optimize the load sharing of gas compressor arranged in parallel and serial configurations. The qualitative analysis and comparison are focused on online feedback-based optimization methods such as Modifier Adaptation, Real-Time Iterations and the recently proposed Feedback Optimization. The idea of Feedback Optimization is shown by presenting gradient and saddle flow as solvers of constrained optimization problems and by outlining how they can be used as controllers. With the help of a dynamic compressor model, the compressor load sharing problem is formulated and the challenges of the optimization problem are highlighted. As most of the reviewed methods did not originate in the field of load sharing optimization, suitable methods are identified by looking at the demanding properties of the load sharing problem. The subsequent comparison is based on the convergence behavior, the computational effort, and the model requirements of the identified methods.
Permanent link
Publication status
published
External links
Editor
Contributors
Examiner: Lygeros, John
Book title
Journal / series
Volume
Pages / Article No.
Publisher
ETH Zurich
Event
Edition / version
Methods
Software
Geographic location
Date collected
Date created
Subject
Feedback-based optimization; Online optimization; Gas compressors; Optimal load sharing
Organisational unit
03751 - Lygeros, John / Lygeros, John
Notes
Funding
Related publications and datasets
Is supplement to: