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Related Concept Videos

Sequence Networks of Rotating Machines01:24

Sequence Networks of Rotating Machines

592
A Y-connected synchronous generator, grounded through a neutral impedance, is designed to produce balanced internal phase voltages with only positive-sequence components. The generator's sequence networks include a source voltage that is exclusively in the positive-sequence network. The sequence components of line-to-ground voltages at the generator terminals illustrate this configuration.
Zero-sequence current induces a voltage drop across the generator's neutral impedance and other...
592

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The Modular Design and Production of an Intelligent Robot Based on a Closed-Loop Control Strategy
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A novel global path planning method for robot based on dual-source light continuous reflection.

Jintao Ye1, Lina Hao1, Hongtai Cheng1

  • 1School of Mechanical Engineering and Automation, Northeastern University, Shenyang 110819, China.

ISA Transactions
|May 16, 2024
PubMed
Summary
This summary is machine-generated.

A new robot path planning algorithm, Dual-source Light Continuous Reflection Exploration (DSR), efficiently navigates narrow passages. DSR significantly reduces path length and time compared to existing methods.

Keywords:
Dual-sourceGlobalLight reflectionPath planningRobot

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Area of Science:

  • Robotics
  • Artificial Intelligence
  • Computational Geometry

Background:

  • Robot path planning is crucial for autonomous navigation.
  • Environments with narrow passages pose significant challenges for existing path planning algorithms.
  • The need for efficient and optimal path planning methods in complex environments is growing.

Purpose of the Study:

  • To introduce a novel global path planning algorithm, Dual-source Light Continuous Reflection Exploration (DSR).
  • To address the limitations of current methods in handling narrow passages during robot path planning.
  • To generate asymptotically optimal paths in environments with complex topological features.

Main Methods:

  • The DSR algorithm is inspired by the principles of light reflection.
  • It utilizes a continuous reflection concept for exploring the environment.
  • Path planning is performed globally on the given map.

Main Results:

  • The DSR algorithm successfully generates asymptotically optimal paths in maps with narrow passages.
  • Compared to the bidirectional Rapidly-exploring Random Tree algorithm, DSR reduced path length by 27.08% and 34.35%.
  • DSR demonstrated substantial improvements in time consumption, reducing it by 98.47% and 91.03%.

Conclusions:

  • The DSR algorithm offers a significant advancement in robot path planning for environments with narrow passages.
  • Its performance is validated through numerical simulations and experimental analysis.
  • DSR provides an efficient and effective solution for complex navigation tasks.