system stabilizing controller

简明释义

系统稳定控制键

英英释义

例句

1.In aerospace applications, a system stabilizing controller is crucial for maintaining stability during flight.

在航空航天应用中，系统稳定控制器对于在飞行过程中保持稳定至关重要。

2.To enhance the performance of the drone, the developers integrated a system stabilizing controller into its flight system.

为了提高无人机的性能，开发人员将系统稳定控制器集成到其飞行系统中。

3.The system stabilizing controller was designed to automatically adjust parameters based on real-time feedback.

系统稳定控制器被设计为根据实时反馈自动调整参数。

4.The engineer implemented a system stabilizing controller to ensure the robot's movements were smooth and controlled.

工程师实施了一个系统稳定控制器以确保机器人的运动平稳且可控。

5.The system stabilizing controller helped reduce oscillations in the power grid, improving overall efficiency.

系统稳定控制器帮助减少了电网中的振荡，提高了整体效率。

作文

In modern engineering, the design and implementation of control systems are critical for ensuring the stability and performance of various applications, ranging from aerospace to automotive industries. One of the key components in this realm is the system stabilizing controller, which plays a vital role in maintaining the desired behavior of dynamic systems. A system stabilizing controller (系统稳定控制器) is designed to adjust the inputs to a system in order to counteract disturbances and uncertainties, ensuring that the system remains stable under varying conditions.The concept of stability in control systems refers to the ability of a system to return to its equilibrium state after experiencing a disturbance. For example, consider an aircraft during flight. It is subjected to various forces such as turbulence and wind gusts, which can disrupt its stable flight path. Here, the system stabilizing controller comes into play by processing the feedback from the aircraft's sensors and making real-time adjustments to the control surfaces, such as ailerons and elevators, to restore stability.A system stabilizing controller typically employs sophisticated algorithms that predict the future behavior of the system based on its current state. This predictive capability allows it to make proactive adjustments rather than merely reactive ones. For instance, in robotic applications, a system stabilizing controller can ensure that a robot maintains its balance while walking or performing tasks, even when external forces act upon it.The effectiveness of a system stabilizing controller can be measured using various performance metrics, including response time, overshoot, and settling time. Engineers often use simulation tools to model the behavior of the controller within the system before actual implementation. This allows them to fine-tune the controller parameters to achieve optimal performance.Moreover, the integration of machine learning techniques into system stabilizing controllers has opened up new avenues for enhancing their capabilities. By analyzing historical data, these intelligent controllers can adapt and improve their performance over time, leading to more robust and efficient systems. For example, in autonomous vehicles, a system stabilizing controller equipped with machine learning algorithms can learn from past driving experiences to better handle complex traffic situations.In conclusion, the system stabilizing controller (系统稳定控制器) is a fundamental element in the design of control systems across various fields. Its ability to maintain stability and enhance performance makes it indispensable in applications where safety and reliability are paramount. As technology continues to evolve, we can expect further advancements in the design and functionality of system stabilizing controllers, paving the way for smarter and more resilient systems in the future.

在现代工程中，控制系统的设计和实现对于确保各种应用的稳定性和性能至关重要，从航空航天到汽车工业。这个领域的关键组成部分之一是系统稳定控制器，它在维持动态系统所需行为方面发挥着重要作用。系统稳定控制器（系统稳定控制器）旨在调整系统的输入，以抵消干扰和不确定性，确保系统在不同条件下保持稳定。控制系统中的稳定性概念是指系统在经历干扰后返回其平衡状态的能力。例如，考虑一架飞机在飞行过程中。它受到各种力量的影响，如湍流和风阵，这可能会干扰其稳定的飞行路径。在这里，系统稳定控制器通过处理来自飞机传感器的反馈并实时调整控制面，例如副翼和升降舵，以恢复稳定性。系统稳定控制器通常采用复杂的算法，根据系统的当前状态预测其未来行为。这种预测能力使其能够主动进行调整，而不仅仅是被动反应。例如，在机器人应用中，系统稳定控制器可以确保机器人在行走或执行任务时保持平衡，即使在外部力量作用下也是如此。系统稳定控制器的有效性可以通过各种性能指标来衡量，包括响应时间、超调和稳定时间。工程师通常使用仿真工具来建模控制器在系统中的行为，然后再进行实际实施。这使他们能够微调控制器参数，以实现最佳性能。此外，将机器学习技术集成到系统稳定控制器中，为增强其能力开辟了新的途径。通过分析历史数据，这些智能控制器可以随着时间的推移进行自我适应和改进，从而导致更强大和高效的系统。例如，在自动驾驶车辆中，配备机器学习算法的系统稳定控制器可以从过去的驾驶经验中学习，以更好地处理复杂的交通情况。总之，系统稳定控制器（系统稳定控制器）是各种领域控制系统设计的基本元素。它维持稳定性和提高性能的能力使其在安全性和可靠性至关重要的应用中不可或缺。随着技术的不断发展，我们可以期待系统稳定控制器的设计和功能进一步进步，为未来更智能和更具韧性的系统铺平道路。