智能自适应小数顺序控制器用于移动机器人轨迹跟踪.
Mohammad A Jaradat1, Khaled S Hatamleh2, Mohammad Hayajneh3
1Mechanical Engineering Department, American University of Sharjah, Sharjah, United Arab Emirates; Mechanical Engineering Department, Jordan University of Science & Technology, Irbid, 22110, Jordan.
ISA transactions
|February 18, 2026
概括
一个智能自适应的分数顺序全状态反控制器 (FOFSC) 改进了差分驱动机器人的轨迹跟踪. 这种新的方法优化了控制收益,以提高自主交付系统的性能.
科学领域:
- 机器人和控制系统 机器人和控制系统
- 人工智能的人工智能
- 机械电子学是什么意思 机械电子学
背景情况:
- 自主轮式移动机器人对于交付系统等任务至关重要.
- 精确的轨迹跟踪控制是这些机器人的关键挑战.
- 分数顺序控制比整数顺序控制提供优势,因为内存和非局部性.
研究的目的:
- 提出一个智能自适应的分数顺序全状态反控制器 (FOFSC) 进行增强的差异驱动机器人 (DDR) 轨迹跟踪.
- 将拟议的FOFSC与整数顺序全状态反控制器 (IOFSC) 的性能进行比较.
- 用灰狼优化 (GWO) 评估适应性和非适应性优化方法.
主要方法:
- 使用灰狼优化 (GWO) 进行增益调整的FOFSC的开发.
- 实施适应性 (在线增益更新) 和非适应性 (离线增益调整) 优化策略.
- 在QBot 2e机器人平台上使用模拟和实验验证对IOFSC进行比较分析.
主要成果:
- 与IOFSC相比,智能自适应FOFSC表现出优越的轨迹跟踪性能.
- 关键的性能改进包括更快的融合速度和尽量减少跟踪错误.
- 适应式FOFSC有效处理干扰,并适应轨迹变化而不需要重新调节.
结论:
- 拟议的智能自适应FOFSC显著增强差速驱动机器人的轨迹跟踪.
- 分数顺序控制,特别是适应性配置,为自主系统提供了强大的解决方案.
- GWO算法有效地优化控制器参数,以改善机器人导航.
相关概念视频
PI Controller: Design
1.3K
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...
1.3K
PD Controller: Design
679
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,...
Designing a continuous-data controller requires selecting and linking components like adders and integrators, which are fundamental in Proportional,...
679
Time and frequency -Domain Interpretation of PI Control
444
Proportional-Integral (PI) controllers are essential in many control systems to improve stability and performance. They are commonly used in everyday devices like thermostats to enhance system damping and reduce steady-state error. When the zero in the controller's transfer function is optimally placed, the system benefits significantly in terms of stability and accuracy.
Acting as a low-pass filter, the PI controller slows the system's response and extends settling times. This requires...
Acting as a low-pass filter, the PI controller slows the system's response and extends settling times. This requires...
444
Controller Configurations
399
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...
Control-system compensation involves various configurations, most commonly series or cascade compensation, in which the controller...
399
PID Controller
777
Proportional-Integral-Derivative (PID) controllers are widely used in various control systems to enhance stability and performance. In a thermostat, it adjusts heating or cooling based on the temperature difference between the actual and desired levels. They are often used in automotive speed systems, effectively managing sudden speed changes while maintaining a constant speed under varying conditions. On the other hand, PI controllers, commonly employed in voltage regulation, enhance stability...
777
One-Degree-of-Freedom System
873
In mechanical engineering, one-degree-of-freedom systems form the basis of a wide range of electrical and mechanical components. Using these models, engineers can predict the behavior of various parts in a larger system, which gives them insight into how different forces interact with each other.
A one-degree-of-freedom system is defined by an independent variable that determines its state and behavior. One example of a one-degree-of-freedom system is a simple harmonic oscillator, such as a...
A one-degree-of-freedom system is defined by an independent variable that determines its state and behavior. One example of a one-degree-of-freedom system is a simple harmonic oscillator, such as a...
873


