Demo Data from EDBT 2026 / reviewers in the wild / expert
Zongpei Wang
dblp:08/1302
· DBLP profile ↗
1ranked-venue papers
0as first author
0since 2021 · last 2001
—ORCID · none
Domains — the database's venue-derived domains; a paper can count in several
Artificial intelligence and machine learning · 1Systems, architecture and hardware · 1
Expertise — from the expertise taxonomy: the topics of the expert's papers under the CCF categories. A weight counts papers with recency: 1 for a paper about the topic, 0.3 when the topic is its context, halved every five years.
| Artificial intelligence
1 paper |
Motion planning and robot control · 100% | |
| Computer architecture, parallel and distributed computing, and storage systems
1 paper |
Integrated circuit design · 100% |
Topics — the 2 heaviest of 2, each with the papers that count most for it
| Topic | Weight | Papers | Last | Evidence papers |
|---|---|---|---|---|
Robotics › Motion planning and robot control
robot control |
0.0 | 1 | 2001 | New Control Strategy of Variable Reluctance Direct Drive Motor for Robotic Applications · ICRA 2001 |
Integrated circuit design
electric machine design |
0.0 | 1 | 2001 | New Control Strategy of Variable Reluctance Direct Drive Motor for Robotic Applications · ICRA 2001 |
Methods — techniques the papers use, named apart from their topics
proportional-integral control · 0.1fuzzy control · 0.1PWM control · 0.1
| Year | Publication | Venue | Position |
|---|---|---|---|
| 2001 | New Control Strategy of Variable Reluctance Direct Drive Motor for Robotic ApplicationsabstractDual Stator Variable Reluctance Motors (VRM) are electrically commutated ac machines and can be used as direct drive actuators, but inherent nonlinearity of VRM results in difficulties, when smooth and quiet operation are required. In this paper, a high performance control system for VRM is presented. The whole control algorithms consist of four closed-loop controllers: position, velocity, torque and current controller. In the torque controller, the torque ripple is reduced via the torque-sharing function and current PWM control, and the command current is easily obtained from the shared torque command via the proposed nonlinear model of the motor. The velocity controller is a combination of fuzzy and proportional-integral algorithm. The lead angle algorithm is also introduced to improve the performance of system in high speed. The position controller is intended for velocity trajectory tracking. The experimental results illustrate the effectiveness of the control system. Dianguo Xu 0001, Zongpei Wang |
ICRA | 3 |