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

Controller Configurations01:22

Controller Configurations

152
Controller configurations are crucial in a car's cruise control system because they manage speed over time to maintain a consistent pace regardless of road conditions, thereby meeting design goals. In traditional control systems, fixed-configuration design involves predetermined controller placement. System performance modifications are known as compensation.
Control-system compensation involves various configurations, most commonly series or cascade compensation, in which the controller...
152
PI Controller: Design01:24

PI Controller: Design

504
Proportional Integral (PI) controllers are a fundamental component in modern control systems, widely used to enhance performance and mitigate steady-state errors. They are particularly effective in applications such as automatic brightness adjustment on smartphones, where they excel at mitigating steady-state errors for step-function inputs. Unlike PD controllers, which require time-varying errors to function optimally, PI controllers leverage their integral component to address residual...
504
Multi-input and Multi-variable systems01:22

Multi-input and Multi-variable systems

150
Cruise control systems in cars are designed as multi-input systems to maintain a driver's desired speed while compensating for external disturbances such as changes in terrain. The block diagram for a cruise control system typically includes two main inputs: the desired speed set by the driver and any external disturbances, such as the incline of the road. By adjusting the engine throttle, the system maintains the vehicle's speed as close to the desired value as possible.
In the absence...
150
Time-Domain Interpretation of PD Control01:07

Time-Domain Interpretation of PD Control

182
Proportional-Derivative (PD) control is a widely used control method in various engineering systems to enhance stability and performance. In a system with only proportional control, common issues include high maximum overshoot and oscillation, observed in both the error signal and its rate of change. This behavior can be divided into three distinct phases: initial overshoot, subsequent undershoot, and gradual stabilization.
Consider the example of control of motor torque. Initially, a positive...
182
Control Systems01:10

Control Systems

1.4K
Control systems are everywhere in contemporary society, influencing diverse applications from aerospace to automated manufacturing. These systems can be found naturally within biological processes, such as blood sugar regulation and heart rate adjustment in response to stress, as well as in man-made systems like elevators and automated vehicles. A control system is essentially a network of subsystems and processes that collaboratively convert specific inputs into desired outputs.
At the heart...
1.4K
PD Controller: Design01:26

PD Controller: Design

356
In automotive engineering, car suspension systems often employ Proportional Derivative (PD) controllers to enhance performance. PD controllers are utilized to adjust the damping force in response to road conditions. A controller, acting as an amplifier with a constant gain, demonstrates proportional control, with output directly mirroring input.
Designing a continuous-data controller requires selecting and linking components like adders and integrators, which are fundamental in Proportional,...
356

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

Pollutant-specific carbon footprint analysis and decarbonization potential for municipal wastewater: A case study in Xi'an, China.

Journal of environmental management·2026
Same author

Molecular mechanisms and applications of antimicrobial secondary metabolites of <i>Bacillus subtilis</i> based on biofilm and quorum sensing.

Applied and environmental microbiology·2026
Same author

Corrigendum to "Neomycin-sensitive gut bacteria-derived brassicasterol mediates the anti-obesity effects of Cordyceps militaris polysaccharide" [Food Res. Int. 230 (2026) 118574].

Food research international (Ottawa, Ont.)·2026
Same author

Neutral Additivity Dominates the Outcome of Soil Microbial Community Coalescence.

Molecular ecology·2026
Same author

Advanced nitrogen removal from secondary effluent using the SAD/A process under the toxicity of PFOA.

Journal of hazardous materials·2026
Same author

Autologous CD19 CAR-T cell therapy for pediatric and adult systemic lupus erythematosus: A phase 1/2 trial.

Molecular therapy : the journal of the American Society of Gene Therapy·2026

相关实验视频

Updated: Sep 15, 2025

Force and Position Control in Humans - The Role of Augmented Feedback
06:31

Force and Position Control in Humans - The Role of Augmented Feedback

Published on: June 19, 2016

8.0K

PPAC-Pilot:对于固定翼自动飞行员来说,规定的性能增强控制.

Qiuyang Tian1, Zelin Wang1, Tianjiang Hu2

  • 1School of Aeronautics and Astronautics, Sun Yat-Sen University (Shenzhen Campus), Shenzhen 518107, China; Zhuhai Key Laboratory on Collective Intelligence and Unmanned Systems, Zhuhai 519000, China.

ISA transactions
|July 13, 2025
PubMed
概括

本研究提出了一种规定的性能增强控制 (PPAC) 框架,以改进固定翼无人机 (UAV) 自动驾驶员. 通过使用历史飞行数据,PPAC增强了现有的PID控制器,确保在没有明确的无人机模型的情况下实现高度跟踪性能.

关键词:
增强控制 增强控制 增强控制固定翼自动飞行员的自动飞行员规定的性能 规定的性能总能源控制系统 总能源控制系统

更多相关视频

Evaluating Flight Performance and Eye Movement Patterns Using Virtual Reality Flight Simulator
03:49

Evaluating Flight Performance and Eye Movement Patterns Using Virtual Reality Flight Simulator

Published on: May 19, 2023

1.1K
Eye Tracking During A Complex Aviation Task For Insights Into Information Processing
07:48

Eye Tracking During A Complex Aviation Task For Insights Into Information Processing

Published on: April 4, 2025

573

相关实验视频

Last Updated: Sep 15, 2025

Force and Position Control in Humans - The Role of Augmented Feedback
06:31

Force and Position Control in Humans - The Role of Augmented Feedback

Published on: June 19, 2016

8.0K
Evaluating Flight Performance and Eye Movement Patterns Using Virtual Reality Flight Simulator
03:49

Evaluating Flight Performance and Eye Movement Patterns Using Virtual Reality Flight Simulator

Published on: May 19, 2023

1.1K
Eye Tracking During A Complex Aviation Task For Insights Into Information Processing
07:48

Eye Tracking During A Complex Aviation Task For Insights Into Information Processing

Published on: April 4, 2025

573

科学领域:

  • 航空航天工程 航空航天工程
  • 控制系统 控制系统
  • 机器人技术 机器人技术 机器人技术

背景情况:

  • 固定翼无人机 (UAV) 的传统自动驾驶仪往往需要大量调整才能达到最佳性能.
  • 现有的控制系统难以保证特定的性能限制,特别是在高度跟踪方面.
  • 历史飞行数据是控制系统开发中未充分利用的资源.

研究的目的:

  • 为无人机自动驾驶员引入一种新的规定的性能增强控制 (PPAC) 框架.
  • 在不需要完全重新设计的情况下,增强现有的比例整数导数 (PID) 控制循环.
  • 利用历史飞行数据来导出动态模型和控制规律.

主要方法:

  • 开发了一个PPAC框架来增强现有的开源自动驾驶PID控制器.
  • 利用历史飞行数据来导出动态线性化模型和控制规律,避免了明确的无人机建模.
  • 为了实际应用,将PPAC框架与总能控制系统 (TECS) 集成.
  • 进行了数值模拟和Hardware-in-the-Loop (HIL) 测试以验证.

主要成果:

  • 在起飞和巡航场景中,PPAC成功地提高了基线自动驾驶员的性能.
  • 该框架确保了对高度跟踪错误的规定的性能限制.
  • 对比分析表明,PPAC增强系统的性能比基线自动驾驶系统更好.
  • 通过模拟和HIL测试的验证证实了PPAC战略的有效性.

结论:

  • 规定的性能增强控制 (PPAC) 框架有效地增强了固定翼无人机自动驾驶.
  • PPAC保证了高度跟踪性能,同时最大限度地减少了对现有控制系统的重新设计工作.
  • 利用历史飞行数据提供了一个强大的控制法推导方法,没有明确的无人机模型.