A Method to Design a Damping Control System for a Field Oriented Controlled Induction Motor Traction System for DC Electric Railway Vehicles

Yokoo, Masashi; Kondo, Keiichiro

doi:10.1541/ieejias.135.622

Cited by 9 publications

(2 citation statements)

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“…For example, an impedance method is used for stability analysis of servo drive systems in reference [2]. In addition, in reference [3] dealing with electric railways, a closed-loop transfer function is analyzed to design damping control for resonance between the input side of an inverter-fed induction motor drive system and a filter in DC power supply system. Besides, reference [6] proposes exploring poles (eigenvalues) of state variables for stability analysis on the inverter input side of an induction motor drive system.…”

Section: Introductionmentioning

confidence: 99%

“…Inverters and other power converters are often installed near loads to provide DC power supply in various fields, including electric vehicles, 1 industrial robots, 2 electric railways, 3 and data centers 4,5 . If such power‐converting devices are controlled to output constant power, they are seen from DC input bus as constant power loads and have negative input impedance near their operating points 1 .…”

Section: Introductionmentioning

confidence: 99%

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Analytical method of DC input impedance for stability analysis of IPM motor drive system

Karino,

Kato,

Inoue

2023

Elect Comm in Japan

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This paper proposes an analytical calculation method of frequency characteristics of DC input impedances of an IPM motor drive system for design and stability analysis by the impedance method. The proposed method is based on an averaged frequency model linearized at an operating point. The developed small‐signal model considers control principles and mechanical perturbations. It is an analog and digital mixed model which is controlled by a digital signal processor system. Analysis examples of frequency characteristics for the impedance method by the proposed method are investigated and validated analytically and experimentally.

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Section: Introductionmentioning

confidence: 99%