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Ke Wang

Researcher at Chinese Academy of Sciences

Publications -  49
Citations -  243

Ke Wang is an academic researcher from Chinese Academy of Sciences. The author has contributed to research in topics: Linear induction motor & Induction motor. The author has an hindex of 7, co-authored 44 publications receiving 176 citations.

Papers
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Journal ArticleDOI

An Improved Indirect Field-Oriented Control Scheme for Linear Induction Motor Traction Drives

TL;DR: The IFOC scheme based on optimized slip frequency for the LIM is proposed and can be increased without increasing the primary current, which can reduce the influence of end and edge effects on thrust performance.
Proceedings ArticleDOI

Development of ironless Halbach permanent magnet linear synchronous motor for traction of a novel maglev vehicle

TL;DR: The experimental results prove the feasibility of the motor for propulsion of the novel maglev vehicle and the basic structure of the propulsion motor and the vehicle are described.
Journal ArticleDOI

An Improved Torque and Current Pulsation Suppression Method for Railway Traction Drives Under Fluctuating DC-Link Voltage

TL;DR: In this article, an improved closed-loop torque and current pulsation suppression method is proposed, which can eliminate the q-axis current pulse component in the field-oriented control system through frequency compensation.
Proceedings ArticleDOI

On-line parameter identification of linear induction motor based on adaptive observer

TL;DR: Based on the proposed method, the magnetizing inductance and secondary resistance, which are both the most variable in the equivalent circuit of LIM due to end-effects, can be identified on-line simultaneously.
Journal ArticleDOI

Hybrid Improved Carrier-Based PWM Strategy for Three-Level Neutral-Point-Clamped Inverter With Wide Frequency Range

TL;DR: In this article, the authors proposed ICBPWM (ICBPWM) I, ICBPWII and ICBPWBWM III to solve the defects of CBPWM, which can avoid narrow pulse and generate line voltage accurately at any low modulation index.