Jove
Visualize
联系我们
JoVE
x logofacebook logolinkedin logoyoutube logo
关于 JoVE
概览领导团队博客JoVE 帮助中心
作者
出版流程编辑委员会范围与政策同行评审常见问题投稿
图书馆员
用户评价订阅访问资源图书馆顾问委员会常见问题
研究
JoVE JournalMethods CollectionsJoVE Encyclopedia of Experiments存档
教育
JoVE CoreJoVE BusinessJoVE Science EducationJoVE Lab Manual教师资源中心教师网站
使用条款与条件
隐私政策
政策

相关概念视频

Typical Model Studies01:30

Typical Model Studies

354
Fluid mechanics model studies often utilize scaled-down systems to predict fluid behavior in full-scale environments, such as river flows, dam spillways, and structures interacting with open surfaces. Maintaining Froude number similarity in river models is crucial, as it replicates surface flow features like wave patterns and velocities.
354

您也可能阅读

相关文章

通过共同作者、期刊和引用图与本文相关的文章。

排序
Same author

Integrated multi-omics analysis reveals apple mango leaf extract-induced dendritic cell maturation associated with Il1b upregulation and PU.1/ETS motif enrichment.

Scientific reports·2026
Same author

REACT (Real-world Emulated Clinical Trials): A Framework for Drug Repurposing Applied to Osteoporotic Fractures.

AMIA Joint Summits on Translational Science proceedings. AMIA Joint Summits on Translational Science·2026
Same author

Data-driven global ocean model resolving atmospherically forced ocean dynamics.

Science advances·2026
Same author

Development and effectiveness of a mindfulness-based cognitive therapy for individuals with spinal cord injury: Changes in quality of life and inflammatory biomarkers.

The journal of spinal cord medicine·2026
Same author

Noninvasive Detection of Acute Hyperglycemia Using Signal from Wearable ECG Sensors Considering Individual HRV Response Delays to Glucose.

Biosensors·2026
Same author

Ultra-high dose rate electron FLASH beam irradiation using a modified clinical linear accelerator.

PloS one·2026

相关实验视频

Updated: Jun 23, 2025

Flapping Soft Fin Deformation Modeling using Planar Laser-Induced Fluorescence Imaging
06:20

Flapping Soft Fin Deformation Modeling using Planar Laser-Induced Fluorescence Imaging

Published on: April 28, 2022

2.2K

模拟和控制器设计用于带有控制的鱼类机器人.

Sandhyarani Gumpina1, Seungyeon Lee2, Jeong-Hwan Kim2

  • 1Department of Aerospace Information Engineering, Konkuk University, Seoul 05029, Republic of Korea.

Biomimetics (Basel, Switzerland)
|June 26, 2024
PubMed
概括
此摘要是机器生成的。

这项研究使用 MATLAB Simulink 开发了一个鱼类机器人模拟,为控制设计创建线性模型. 为线性模型设计的控制器有效地管理了不同速度的非线性鱼机器人.

关键词:
在PID控制器控制器中,PID控制器控制器鱼类机器人 鱼类机器人六度自由度方程的六度自由度方程系统识别系统识别

更多相关视频

Using the FishSim Animation Toolchain to Investigate Fish Behavior: A Case Study on Mate-Choice Copying In Sailfin Mollies
10:50

Using the FishSim Animation Toolchain to Investigate Fish Behavior: A Case Study on Mate-Choice Copying In Sailfin Mollies

Published on: November 8, 2018

10.8K
A Robotic Platform to Study the Foreflipper of the California Sea Lion
08:53

A Robotic Platform to Study the Foreflipper of the California Sea Lion

Published on: January 10, 2017

7.9K

相关实验视频

Last Updated: Jun 23, 2025

Flapping Soft Fin Deformation Modeling using Planar Laser-Induced Fluorescence Imaging
06:20

Flapping Soft Fin Deformation Modeling using Planar Laser-Induced Fluorescence Imaging

Published on: April 28, 2022

2.2K
Using the FishSim Animation Toolchain to Investigate Fish Behavior: A Case Study on Mate-Choice Copying In Sailfin Mollies
10:50

Using the FishSim Animation Toolchain to Investigate Fish Behavior: A Case Study on Mate-Choice Copying In Sailfin Mollies

Published on: November 8, 2018

10.8K
A Robotic Platform to Study the Foreflipper of the California Sea Lion
08:53

A Robotic Platform to Study the Foreflipper of the California Sea Lion

Published on: January 10, 2017

7.9K

科学领域:

  • 机器人技术 机器人技术 机器人技术
  • 控制系统工程 控制系统工程
  • 流体动力学 流体动力学

背景情况:

  • 为鱼类机器人等自主水下车辆 (AUV) 开发有效的控制策略对于海洋勘探和研究至关重要.
  • 由于水力动力学力量和相互作用,鱼机器人呈现复杂的非线性动力学,使得传统的控制设计具有挑战性.

研究的目的:

  • 在 MATLAB Simulink 中设计和验证一个非线性模拟块,用于一个鱼类机器人.
  • 为控制器设计,开发不同冲浪速度的鱼机器人的线性化模型.
  • 根据线性化模型设计和分析比例,积分和导数 (PID) 控制器,并评估它们在非线性系统上的性能.

主要方法:

  • 创建了一个六度自由度的非线性模拟模型,结合了水力动力学力和效应.
  • 通过将伪随机的二进制信号输入应用于非线性模型,在0.2,0.4和0.6m/s的名义激增速度下,使用识别工具获得线性化模型.
  • 使用线性化模型设计了两度自由度PID控制器,并分析了它们的稳定边际和带宽.

主要成果:

  • 为线性化模型设计的PID控制器在应用到非线性鱼类机器人模拟时表现出强大的性能.
  • 对0.4m/s名义冲浪速度的控制器的分析显示,冲浪,斜率和曲率的增益和相位边缘是有利的.
  • 该研究证实,为0.4m/s的线性模型设计的单个控制器可以有效地控制不同冲速度的非线性系统,并且超出最小的超速和稳定状态错误.

结论:

  • 线性近似模型对于设计非线性鱼类机器人系统的控制器是有效的.
  • 基于线性化模型设计的控制器在非线性系统上实现时表现出良好的稳定性和性能.
  • 开发的模拟和控制策略为在各种操作条件下控制鱼类机器人提供了可行的方法.