Design parameter sensitivity analysis and performance prediction of a novel direct drive double dumbbell flux switching linear generator

Author(s):  
Pooja Khatri ◽  
Xu Wang
2012 ◽  
Vol 15 (6) ◽  
pp. 39-45 ◽  
Author(s):  
Hyun Dong Shin ◽  
Do Won Kang ◽  
Tong Seop Kim ◽  
Mun-Kyoung Choi ◽  
Pil Je Park

Author(s):  
H. Torab

Abstract Parameter sensitivity for large-scale systems that include several components which interface in series is presented. Large-scale systems can be divided into components or sub-systems to avoid excessive calculations in determining their optimum design. Model Coordination Method of Decomposition (MCMD) is one of the most commonly used methods to solve large-scale engineering optimization problems. In the Model Coordination Method of Decomposition, the vector of coordinating variables can be partitioned into two sub-vectors for systems with several components interacting in series. The first sub-vector consists of those variables that are common among all or most of the elements. The other sub-vector consists of those variables that are common between only two components that are in series. This study focuses on a parameter sensitivity analysis for this special case using MCMD.


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