2001Fuzhou daxue xuebao. Ziran kexue banRequires access

A speed-adjustable system of sensorless vector control for induction motors based on the MRAS theory

Shuo Chen

Open publisher page 0 citations

Abstract

Presents a speed-adjustable system of sensorless vector control for general-purpose induction motors,which is based on the vector control theory and the MRAS theory. The proposed system includes a rotor flux estimator and a speed estimator. The feasibility of the proposed system has been verified by experimentation.

About this research paper

What this paper is about

Presents a speed-adjustable system of sensorless vector control for general-purpose induction motors,which is based on the vector control theory and the MRAS theory. The proposed system includes a rotor flux estimator and a speed estimator. The feasibility of the proposed system has been verified by experimentation.

Why it matters

A significance statement is not available in the OpenAlex record.

Key contribution

A contribution statement is not available in the OpenAlex record.

Method / approach

Method details are not available in the OpenAlex metadata.

Main findings

Findings are not separately available in the OpenAlex metadata.

Limitations

Limitations are not available in the OpenAlex metadata.

Applications

Application details are not available in the OpenAlex metadata.

Available abstract

Presents a speed-adjustable system of sensorless vector control for general-purpose induction motors,which is based on the vector control theory and the MRAS theory. The proposed system includes a rotor flux estimator and a speed estimator. The feasibility of the proposed system has been verified by experimentation.

Key concepts: MRAS, Control theory (sociology), Vector control, Estimator, Induction motor, Control engineering, Computer science, Rotor (electric)

Related papers

Back to paper searchBrowse research topicsOriginal source
A speed-adjustable system of sensorless vector control for induction motors based on the MRAS theory — Research Paper | ScholarLens