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相关概念视频

Time-Domain Interpretation of PD Control01:07

Time-Domain Interpretation of PD Control

348
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...
348
Control Systems01:10

Control Systems

1.8K
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...
1.8K
PD Controller: Design01:26

PD Controller: Design

588
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,...
588
Feedback control systems01:26

Feedback control systems

657
Feedback control systems are categorized in various ways based on their design, analysis, and signal types.
Linear feedback systems are theoretical models that simplify analysis and design. These systems operate under the principle that their output is directly proportional to their input within certain ranges. For instance, an amplifier in a control system behaves linearly as long as the input signal remains within a specific range. However, most physical systems exhibit inherent nonlinearity...
657
Multi-input and Multi-variable systems01:22

Multi-input and Multi-variable systems

373
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 of...
373
Controller Configurations01:22

Controller Configurations

333
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...
333

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WheelCon: A Wheel Control-Based Gaming Platform for Studying Human Sensorimotor Control
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预先定义的时间动态自动触发,对有干扰的自动地面车辆进行最佳控制.

Yongwei Zhang, Weifeng Zhong, Guoxu Zhou

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    此摘要是机器生成的。

    本研究引入了一种使用强化学习 (RL) 的自动地表车辆 (ASV) 的新控制方法. 动态自触发框架可以降低计算负载,同时确保稳定的运动控制.

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    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
    • 海洋工程 海洋工程

    背景情况:

    • 自主地表车辆 (ASV) 需要强大的控制策略来有效地在动态环境中导航.
    • 干扰和计算限制对ASVs的实时运动控制构成重大挑战.
    • 现有的控制方法在计算和通信负担方面往往缺乏效率.

    研究的目的:

    • 为面临干扰的ASV开发预定义时间的最佳运动控制策略.
    • 实施一个动态的自我触发框架,以减少计算和通信开销.
    • 通过强化学习在指定时间框架内确保稳定的ASV运动.

    主要方法:

    • 制定一个预定义时间的二级积分滑动模式控制 (SOISM) 策略.
    • 使用单一关键网络开发预定义时间近似最佳运动 (AOM) 控制策略.
    • 适应自动触发的动态框架的应用,用于自适应控制更新.
    • 设计新型Lyapunov函数和触发条件用于稳定性分析.

    主要成果:

    • 拟议的SOISM和AOM控制策略有效地消除了对ASVs的干扰影响.
    • 动态自动触发框架显著降低了计算和通信负担.
    • 滑动模式动态和受干扰的ASV的稳定性在指定的时间框架内被证明.
    • 模拟结果证实了开发的运动控制方法的有效性.

    结论:

    • 综合控制方法确保在干扰条件下SVS的稳定和最佳运动.
    • 动态自动触发框架提高了控制系统的效率.
    • 这项研究为ASV运动控制提供了强大且计算效率高的解决方案.