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相关概念视频

One-Degree-of-Freedom System01:24

One-Degree-of-Freedom System

448
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...
448
Controller Configurations01:22

Controller Configurations

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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...
81
PID Controller01:19

PID Controller

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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...
90
Rolling Resistance: Problem Solving01:17

Rolling Resistance: Problem Solving

279
Rolling resistance, also known as rolling friction, is the force that resists the motion of a rolling object, such as a wheel, tire, or ball, when it moves over a surface. It is caused by the deformation of the object and the surface in contact with each other, as well as other factors like internal friction, hysteresis, and energy losses within the materials. Rolling resistance opposes the object's motion, requiring additional energy to overcome it and maintain movement. In practical...
279
Multi-input and Multi-variable systems01:22

Multi-input and Multi-variable systems

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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...
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PD Controller: Design01:26

PD Controller: Design

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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,...
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有效的在线控制器调整为通向移动机器人使用多变量多目标多项式预测模型和进化优化.

Alam Gabriel Rojas-López1, Miguel Gabriel Villarreal-Cervantes1, Alejandro Rodríguez-Molina2

  • 1Mechatronics Section, Postgraduate Department, OMD Laboratory, Instituto Politécnico Nacional-Centro de Innovación y Desarrollo Tecnológico en Cómputo, Mexico City 07700, Mexico.

Biomimetics (Basel, Switzerland)
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概括
此摘要是机器生成的。

这项研究介绍了一种高效的在线生物灵感控制器调方法,用于使用代理建模的移动机器人. 这种方法可以显著降低计算负载,同时在不确定的条件下保持或提高控制器性能.

关键词:
进化优化的进化优化全方位的移动机器人在线控制器调整.多项式响应表面方法.

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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
  • 计算智能是一种计算智能.

背景情况:

  • 移动机器人在不可预测的环境中工作,需要先进的控制器来进行动态参数调整.
  • 在线生物灵感控制器调整为处理不确定性提供了创新的解决方案,但需要大量的计算资源.

研究的目的:

  • 开发一种高效的在线生物灵感控制器调方法,用于使用代理建模的全方位移动机器人.
  • 为了减少控制器调整的计算负载,而不会影响动态环境中的性能.

主要方法:

  • 纳入多项式响应表面方法用于系统识别和行为预测.
  • 开发一种在线生物灵感控制器调方法,利用代用模型.
  • 对最先进的在线,离线强和离线非强的生物灵感调方法进行比较分析.

主要成果:

  • 与现有的在线方法相比,拟议的方法可将计算负载降低高达62.85%.
  • 与离线方法相比,控制器的性能在不利条件下保持不变,并提高了高达93%.
  • 该方法显示出优越的性能和较低的计算负载,与基于高斯过程回归的替代调整方法相比.

结论:

  • 开发的控制器调整方法显著减少了移动机器人控制系统的执行时间.
  • 它即使在不利的环境不确定性和干扰下也保持了闭环性能.
  • 这代表了这种代理辅助控制器调整策略在通向移动机器人上的首次应用.