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Sensorless Control of Electric Motors

Sensorless Control of Electric Motors is a research topic within Electrical and Electronic Engineering. Science Explorer counts 25k research works in it since 1950. 9.0% of them reached the world's top 10% most cited for their field and year.

This cluster of papers focuses on the analysis, control, and sensorless operation of electric machinery and drive systems, with a particular emphasis on induction motors and permanent-magnet motors. It covers topics such as sensorless control, FPGA design, torque control, speed estimation, sliding-mode observer, direct torque control, adaptive control, and parameter estimation in the context of electric motor systems.

  • Sensorless Control
  • Induction Motors
  • Permanent-Magnet Motors
  • FPGA Design
  • Torque Control
  • Speed Estimation
  • Sliding-Mode Observer
  • Direct Torque Control
  • Adaptive Control
  • Parameter Estimation
Research works
25k
fractional, since 1950
In the world top 10%
2.2k
per year above
Top-10% rate
9.0%
share of its works in the world top 10%
Growth, 2013–17 → 2018–22
+24%
the tick is no change

Which countries lead Sensorless Control of Electric Motors research?

By volume, China and India publish the most (2.2k and 724 works in 2022–2025).

By volume, 2022–2025

  1. 1 China 2.2k works
  2. 2 India 724 works
  3. 3 Indonesia 207 works
  4. 4 United States 205 works
  5. 5 South Korea 173 works
  6. 6 Japan 149 works
  7. 7 Algeria 131 works
  8. 8 Türkiye 111 works
  9. 9 Germany 98 works
  10. 10 United Kingdom 95 works

How concentrated that is

The same countries as shares of everything the list above accounts for. A node where two countries do two thirds of the work and one spread evenly across twelve read alike as a ranking and not at all alike here.

China: 53.3%India: 17.9%Indonesia: 5.1%United States: 5.1%6 others listed: 18.6%53%largest
China2,162 · 53.3%India724 · 17.9%Indonesia207 · 5.1%United States205 · 5.1%6 others listed756 · 18.6%

Shares of the rows listed above, not of the whole node.

Which institutions lead Sensorless Control of Electric Motors research?

By volume in 2022–2025, Harbin Institute of Technology publishes the most Sensorless Control of Electric Motors research, followed by Southeast University and Huazhong University of Science and Technology.

Who are the leading researchers in Sensorless Control of Electric Motors?

The most-cited researchers publishing on Sensorless Control of Electric Motors include Frede Blaabjerg, José Rodríguez and Marco Liserre.

  1. 1 Frede Blaabjerg Denmark 12k citations
  2. 2 José Rodríguez Chile 6.8k citations
  3. 3 Marco Liserre Germany 4.6k citations
  4. 4 T.Α. Lipo United States 3.5k citations
  5. 5 Z. Q. Zhu United Kingdom 3.4k citations
  6. 6 Bhim Singh India 3.3k citations
  7. 7 Jih‐Sheng Lai United States 2.8k citations
  8. 8 Nasrudin Abd Rahim Malaysia 2.7k citations
  9. 9 Xinghuo Yu Australia 2.6k citations

Ranked by citations received across their whole record, among researchers with at least three works on this topic.

Where is Sensorless Control of Electric Motors research done?

The largest centres of Sensorless Control of Electric Motors research in 2022–2025 are Beijing (China), Nanjing (China), Harbin (China) and Xi'an (China). Among places with at least 20 works in it, it is an unusually large share of all research in Zhenjiang.

Largest cities, 2022–2025

  1. 1 Beijing China 258 works
  2. 2 Nanjing China 227 works
  3. 3 Harbin China 186 works
  4. 4 Xi'an China 148 works
  5. 5 Wuhan China 133 works
  6. 6 Shanghai China 131 works
  7. 7 Hangzhou China 87 works
  8. 8 Zhenjiang China 79 works
  9. 9 New Delhi India 74 works
  10. 10 Seoul South Korea 67 works

Where it is the local speciality

  1. ZhenjiangCN · 79.4 works13×
← less than its size predictsmore →

Location quotient: how much more of its research is in Sensorless Control of Electric Motors than the world average.

See Sensorless Control of Electric Motors on the map

Where is the best place to study Sensorless Control of Electric Motors?

Among universities, judged by research, Southeast University, Harbin Institute of Technology and Jiangsu University score highest, combining excellence, specialisation, size, growth and international reach. Research strength is one signal when choosing where to study; it does not measure teaching.

0%20%40%mean 12.47%fractional works in this node (log) →share in the world top 10% →Southeast University: 92, 13.3%Harbin Institute of Technology: 140, 9.0%Jiangsu University: 68, 14.4%North China University of Technology: 18, 14.9%Xi'an University of Technology: 19, 11.3%Nanjing University of Aeronautics and Astronautics: 71, 4.4%Huazhong University of Science and Technology: 73, 7.3%Sidi Mohamed Ben Abdellah University: 8, 32.4%Hanoi University of Science and Technology: 12, 6.6%National Institute of Technology Warangal: 12, 11.1%North China Universi…Jiangsu UniversitySoutheast UniversityHarbin Institute of …
above the meannear itbelow it

One dot per university in the table below. The upper left is the interesting corner: small places doing unusually strong work.

#UniversityScoreTop 10%SpecialisationWorksGrowth
1 Southeast UniversityChina 64.413.3%12.8×92 +66.9%
2 Harbin Institute of TechnologyChina 60.89.0%15.9×140 +46.5%
3 Jiangsu UniversityChina 59.014.4%16.8×68 +6.8%
4 North China University of TechnologyChina 53.814.9%21.3×18 +100.2%
5 Xi'an University of TechnologyChina 53.411.3%10.9×19 +134.4%
6 Nanjing University of Aeronautics and AstronauticsChina 53.14.4%14.8×71 +73.4%
7 Huazhong University of Science and TechnologyChina 53.07.3%8.6×73 +81.9%
8 Sidi Mohamed Ben Abdellah UniversityMorocco 51.632.4%5.8×8
9 Hanoi University of Science and TechnologyVietnam 50.86.6%12.1×12 +181.3%
10 National Institute of Technology WarangalIndia 49.511.1%10.2×12 +124.2%

Universities only. Score blends excellence (30%), specialisation (25%), size (20%), growth (15%) and international reach (10%), 2015–2022; growth compares 2010–14 with 2015–19.

Is Sensorless Control of Electric Motors research growing?

Output in 2018–2022 was 24% higher than in 2013–2017, peaking in 2025. The fastest-growing topics are Sensorless Control of Electric Motors.

19801990200020102020
grewheldshrank

The same series as a ribbon — one cell per year, darker for more. The line above answers how much; this answers when.

Which topics inside it are moving

Growth and decline on one axis around a shared zero. Two lists side by side hide the thing that matters: whether the growth dwarfs the decline, or the other way round.