scholarly journals An Equivalent Impedance Characteristics Analysis System for Human-machine Systems

2006 ◽  
Vol 42 (9) ◽  
pp. 1083-1091 ◽  
Author(s):  
Masatoshi HADA ◽  
Daisuke YAMADA ◽  
Hiroki MIURA ◽  
Toshio TSUJI
2008 ◽  
Vol 128 (11) ◽  
pp. 435-441
Author(s):  
Seung-ho Yang ◽  
Katsuhiro Hirata ◽  
Tomohiro Ota ◽  
Yoshio Mitsutake ◽  
Yoshihiro Kawase

2011 ◽  
Vol 94 (3) ◽  
pp. 33-40 ◽  
Author(s):  
Seung-ho Yang ◽  
Katsuhiro Hirata ◽  
Tomohiro Ota ◽  
Yoshio Mitsutake ◽  
Yoshihiro Kawase

Energies ◽  
2021 ◽  
Vol 14 (21) ◽  
pp. 6899
Author(s):  
Fisnik Loku ◽  
Patrick Düllmann ◽  
Christina Brantl ◽  
Antonello Monti

A major challenge in the development of multi-vendor HVDC networks are converter control interactions. While recent publications have reported interoperability issues such as persistent oscillations for first multi-vendor HVDC setups with AC-side coupling, multi-terminal HVDC networks are expected to face similar challenges. To investigate DC-side control interactions and mitigate possible interoperability issues, several methods based on the converters’ and DC network’s impedances have been proposed in literature. For DC network’s impedance modelling, most methods require detailed knowledge of all converters’ design and controls. However, in multi-vendor HVDC networks, converter control parameters are not expected to be shared due to proprietary reasons. Therefore, to facilitate impedance-based stability analyses in multi-vendor MTDC networks, methods that do not require the disclosure of the existing converter controls are needed. Here, detailed impedance measurements can be applied; however, they are time-consuming and require new measurement for a single configuration change. This paper proposes an equivalent impedance calculation method suitable for multi-vendor DC networks, which for available black-box models or converter impedance characteristics can be modularly applied for various network configurations, including different control settings and operating points, while significantly reducing the required time for obtaining an equivalent DC network impedance.


2016 ◽  
Vol 52 (3-4) ◽  
pp. 1655-1663 ◽  
Author(s):  
Seung-Ho Yang ◽  
Katsuhiro Hirata ◽  
Tomohiro Ota ◽  
Yoshihiro Kawase

Author(s):  
Sherman W. Tyler ◽  
Christian Neukom ◽  
Michael Logan ◽  
Jay Shively

A unique software tool for conducting human factors analyses of complex human-machine systems has been developed at NASA Ames Research Center. Called the Man-Machine Integration Design and Analysis System (MIDAS), this simulation system contains models of human performance that can be used to evaluate candidate procedures, controls, and displays prior to more expensive and time consuming hardware simulators and human subject experiments. While this tool has been successfully applied to research issues in several domains, particularly in aeronautics, a desire to expand its functionality and its ease of use has led to the construction of a new object-oriented system. This new version of MIDAS contains a substantially modified human performance model, one that is aimed at being more consistent with empirical data on human behavior and more natural for designers to apply to the analyses of complex new designs. This paper offers a summary of this new human performance model, together with justifications for some of its main components, and indicates plans for its subsequent verification and validation.


2016 ◽  
Vol 2016 ◽  
pp. 1-12
Author(s):  
Ryszard Klempka

Basic methods are presented to design a simple filter group and a method of shaping the resultant of the filter group’s impedance characteristics (distribution of the characteristics’ extremes) and then project equations were transformed into a uniform, common form that addresses issues of the reactive power distribution between component filters. The analysis also takes into account the filters’ detuning from the reduced harmonics and quality factors of passive elements. Another important factor of the analysis considered was the power grid equivalent impedance affecting the filtration effectiveness. A criterion for the filter group’s filtration effectiveness evaluation was proposed and optimisation was completed for the reactive power distribution between separate filters in the function of the power grid’s equivalent inductance.


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