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相关概念视频

Root-Locus Method01:19

Root-Locus Method

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A cruise control system in a car is designed to maintain a specified speed automatically by adjusting the gas pedal. The system continuously measures the vehicle's speed and makes fine adjustments to the pedal to achieve this goal. The root locus method is particularly useful for understanding how the cruise control system's behavior changes under varying conditions, such as when the car goes uphill, downhill, or faces strong wind resistance.
This system can be represented by a block...
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Control Systems: Applications01:25

Control Systems: Applications

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Electrical engineering plays a pivotal role in our daily lives, with control systems at the heart of many applications, from home appliances to sophisticated space shuttles. Control systems manage and regulate the behavior of devices and processes, ensuring they function safely, correctly, and efficiently.
In modern vehicles, control systems manage various functions to enhance performance and safety. The steering wheel and accelerator are primary inputs in a car's control system. The...
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基于游戏的事件触发的无人地面车辆控制:算法设计和港湾实验.

Guoqing Zhang, Shilin Yin, Jiqiang Li

    IEEE transactions on cybernetics
    |April 11, 2025
    PubMed
    概括

    本研究介绍了无人地面车辆 (USV) 的最佳控制算法,通过将其视为零和游戏来最小化执行器磨损. 该方法提高了轨迹跟踪性能,并确保了系统的稳定性.

    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
    • 人工智能的人工智能

    背景情况:

    • 无人驾驶地面车辆 (USV) 需要先进的控制来精确跟踪轨迹.
    • 执行器磨损是影响USVs的寿命和性能的一个重大挑战.
    • 现有的控制策略往往不能充分解决执行器磨损在最佳控制问题.

    研究的目的:

    • 为USVs开发一个最佳的控制算法,尽量减少执行器磨损,同时改善轨迹跟踪.
    • 通过将其分为动力学和动力学子系统来研究USV控制系统.
    • 通过近似非线性不确定性和补偿环境干扰来提高控制性能.

    主要方法:

    • USV控制系统被分解为动力学和动力学子系统,具有定义的性能指数.
    • 演员-关键神经网络用于近似值函数,汉密尔顿-雅各比-贝尔曼方程和最佳控制策略.
    • 使用minmax策略实施事件触发的零和游戏方法,以减少螺旋和轮磨损.

    主要成果:

    • 拟议的算法有效地近似USV非线性不确定性,并补偿环境干扰.
    • 闭环控制系统表现出半全球均的最终边界稳定性,由利亚普诺夫理论验证.
    • 模拟和港口实验证实了算法的卓越性能和工程适用性.

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    结论:

    • 开发的最佳控制策略成功地解决了USV中的执行器磨损问题.
    • 演员-关键网络和零和游戏理论的集成为USV轨迹跟踪提供了一个强大的解决方案.
    • 该算法为提高无人驾驶地面车辆的运营效率和寿命提供了一个有希望的方法.