disturbance feedback

简明释义

扰动反馈

英英释义

例句

1.The algorithm relies on disturbance feedback to optimize the energy consumption of the smart grid.

该算法依赖于干扰反馈来优化智能电网的能耗。

2.Engineers implemented disturbance feedback mechanisms to improve the performance of the vehicle's suspension system.

工程师们实施了干扰反馈机制，以改善车辆悬挂系统的性能。

3.In robotics, disturbance feedback is crucial for maintaining stability during operation.

在机器人技术中，干扰反馈对于保持操作期间的稳定性至关重要。

4.The control system uses disturbance feedback to adjust its output in response to unexpected changes.

控制系统使用干扰反馈来调整其输出以应对意外变化。

5.Using disturbance feedback, the team was able to enhance the accuracy of their predictive models.

通过使用干扰反馈，团队能够提高其预测模型的准确性。

作文

In the realm of control systems and engineering, the concept of disturbance feedback plays a crucial role in maintaining stability and performance. Essentially, disturbance feedback refers to the process of measuring disturbances or external influences that affect a system and using this information to adjust the system's response accordingly. This mechanism is vital for ensuring that a system can adapt to changes and maintain its desired output despite the presence of unexpected variations.To understand disturbance feedback, one must first recognize what constitutes a disturbance. Disturbances can be anything from environmental changes, such as temperature fluctuations, to operational anomalies, like sudden changes in load or input signals. For instance, consider an automated climate control system in a building. If the outside temperature suddenly drops, this external disturbance could lead to a decrease in the indoor temperature, affecting the comfort of the occupants. By incorporating disturbance feedback, the system can detect this change and automatically increase the heating to maintain the desired indoor climate.The implementation of disturbance feedback can significantly enhance the robustness and reliability of various systems. In robotics, for example, a robot operating in an unpredictable environment can utilize disturbance feedback to navigate obstacles more effectively. By continuously monitoring its surroundings and adjusting its movements based on the detected disturbances, the robot can achieve smoother and more efficient operation.Furthermore, disturbance feedback is not limited to physical systems; it also finds applications in economic models and social systems. For instance, in economics, market fluctuations can be seen as disturbances that affect supply and demand dynamics. Policymakers can use disturbance feedback mechanisms to implement corrective measures in response to these disturbances, ensuring economic stability and growth.Despite its advantages, the implementation of disturbance feedback is not without challenges. One major concern is the accuracy of the disturbance measurements. If the system inaccurately perceives a disturbance, it may react inappropriately, leading to undesirable outcomes. Thus, developing reliable sensors and algorithms to detect and interpret disturbances is critical for effective disturbance feedback systems.Moreover, there is a trade-off between responsiveness and stability. A system that reacts too quickly to disturbances may become overly sensitive, resulting in oscillations or instability. Conversely, a system that is too slow to respond may fail to correct deviations effectively. Therefore, tuning the parameters of disturbance feedback loops is essential to strike a balance between agility and stability.In conclusion, disturbance feedback is a fundamental concept that enhances the performance and resilience of various systems across different fields. By understanding and implementing disturbance feedback, engineers, economists, and decision-makers can create systems that are not only robust against disturbances but also capable of adapting to an ever-changing environment. As technology continues to evolve, the importance of disturbance feedback will only grow, making it an essential area of study for future innovations.

在控制系统和工程领域，干扰反馈的概念在维持稳定性和性能方面起着至关重要的作用。基本上，干扰反馈指的是测量影响系统的干扰或外部因素，并利用这些信息相应地调整系统响应的过程。这一机制对于确保系统能够适应变化并在意外变化的情况下维持其所需输出至关重要。要理解干扰反馈，首先必须认识到什么构成了干扰。干扰可以是任何东西，从环境变化，如温度波动，到操作异常，如负载或输入信号的突然变化。例如，考虑一个建筑物中的自动气候控制系统。如果外部温度突然下降，这种外部干扰可能会导致室内温度下降，从而影响居住者的舒适度。通过引入干扰反馈，系统可以检测到这种变化并自动提高加热，以维持所需的室内气候。实施干扰反馈可以显著增强各种系统的鲁棒性和可靠性。在机器人技术中，例如，一个在不可预测环境中操作的机器人可以利用干扰反馈更有效地导航障碍物。通过持续监测其周围环境并根据检测到的干扰调整其运动，机器人可以实现更平滑和更高效的操作。此外，干扰反馈不仅限于物理系统；它还在经济模型和社会系统中找到应用。例如，在经济学中，市场波动可以被视为影响供需动态的干扰。政策制定者可以使用干扰反馈机制来实施针对这些干扰的纠正措施，从而确保经济的稳定和增长。尽管有其优势，但实施干扰反馈并非没有挑战。一个主要问题是干扰测量的准确性。如果系统错误地感知到干扰，它可能会做出不当反应，导致不良结果。因此，开发可靠的传感器和算法来检测和解释干扰对于有效的干扰反馈系统至关重要。此外，响应性和稳定性之间存在权衡。一个对干扰反应过快的系统可能会变得过于敏感，导致振荡或不稳定。相反，反应过慢的系统可能无法有效纠正偏差。因此，调节干扰反馈环路的参数对于在敏捷性和稳定性之间取得平衡至关重要。总之，干扰反馈是一个基本概念，增强了各个领域各种系统的性能和韧性。通过理解和实施干扰反馈，工程师、经济学家和决策者可以创建不仅能抵御干扰而且能够适应不断变化环境的系统。随着技术的不断发展，干扰反馈的重要性只会增加，使其成为未来创新研究的一个重要领域。