steady state error

简明释义

稳态误差

英英释义

Steady state error refers to the difference between the desired output and the actual output of a control system as time approaches infinity, indicating how accurately the system can maintain the desired performance over time.

稳态误差是指控制系统在时间趋近于无穷大时,期望输出与实际输出之间的差异,表明系统在多大程度上能够在长时间内维持期望的性能。

例句

1.The control system was designed to minimize the steady state error 稳态误差 in order to ensure accurate tracking of the reference signal.

该控制系统的设计旨在最小化稳态误差 steady state error,以确保准确跟踪参考信号。

2.In our simulation, the steady state error 稳态误差 was measured to be less than 1% of the desired output.

在我们的仿真中,稳态误差 steady state error的测量值低于期望输出的1%。

3.After tuning the PID controller, we observed a significant reduction in the steady state error 稳态误差 during the system's operation.

在调整PID控制器后,我们观察到系统运行期间稳态误差 steady state error显著减少。

4.The steady state error 稳态误差 can affect the overall accuracy of a temperature control system.

对温度控制系统来说,稳态误差 steady state error会影响整体精度。

5.To improve performance, the engineers focused on reducing the steady state error 稳态误差 in the feedback loop.

为了提高性能,工程师们专注于减少反馈回路中的稳态误差 steady state error

作文

In the field of control systems, understanding the concept of steady state error is crucial for designing effective and reliable systems. Steady state error refers to the difference between the desired output and the actual output of a system when it has reached a stable operating condition. This measure is particularly important in feedback control systems where the goal is to minimize the error over time. For instance, consider a temperature control system in a room. The thermostat is set to maintain a specific temperature, say 22 degrees Celsius. If the room temperature stabilizes at 21 degrees Celsius, the steady state error would be -1 degree Celsius, indicating that the system is consistently underperforming. The presence of steady state error can arise from various factors, including system dynamics, external disturbances, and the design of the control strategy itself. In many cases, the type of controller used—such as proportional, integral, or derivative (PID) controllers—can significantly influence the steady state error. For example, a proportional controller may reduce the error but might not eliminate it entirely, leading to a persistent steady state error. On the other hand, an integral controller can help eliminate this error by adjusting the control output based on the accumulation of past errors. To illustrate this further, let us take the example of a robotic arm designed to pick up objects. If the arm is programmed to reach a specific position but consistently stops short of that position, the difference between the intended position and the actual position represents the steady state error. Engineers would analyze this error to improve the arm's control algorithms, ensuring that it can accurately reach its target without significant deviation. Reducing steady state error is essential for achieving high performance in various applications, such as robotics, aerospace, and manufacturing processes. In industrial automation, for example, minimizing steady state error ensures that products are manufactured to precise specifications, thereby enhancing quality and reducing waste. Moreover, it is important to note that while striving for zero steady state error is often desirable, it may not always be practical or achievable due to physical limitations or constraints in the system. Therefore, engineers must balance the need for accuracy with other factors such as speed, stability, and robustness of the control system. In conclusion, the concept of steady state error plays a fundamental role in the design and analysis of control systems. By understanding how to measure, analyze, and mitigate this error, engineers can create systems that operate efficiently and meet performance expectations. Whether in temperature control, robotics, or any automated process, addressing steady state error is key to achieving optimal results and ensuring system reliability.

在控制系统领域,理解稳态误差的概念对于设计有效和可靠的系统至关重要。稳态误差是指系统在达到稳定工作状态时,期望输出与实际输出之间的差异。这个指标在反馈控制系统中特别重要,目标是随着时间的推移最小化误差。例如,考虑一个房间的温度控制系统。恒温器被设置为维持特定温度,比如22摄氏度。如果房间温度稳定在21摄氏度,那么稳态误差将是-1摄氏度,表明系统持续表现不佳。稳态误差的存在可能由于多种因素引起,包括系统动态、外部干扰以及控制策略本身的设计。在许多情况下,使用的控制器类型——例如比例、积分或微分(PID)控制器——可以显著影响稳态误差。例如,比例控制器可能会减少误差,但可能无法完全消除,从而导致持久的稳态误差。另一方面,积分控制器可以通过根据过去误差的累积调整控制输出来帮助消除此误差。为了进一步说明这一点,让我们以一个设计用于拾取物体的机器人手臂为例。如果手臂被编程到达特定位置,但始终短于该位置,则预定位置与实际位置之间的差异表示稳态误差。工程师将分析该误差,以改善手臂的控制算法,确保其能够准确地达到目标而没有显著偏差。减少稳态误差对于在各种应用中实现高性能至关重要,例如机器人技术、航空航天和制造过程。在工业自动化中,例如,最小化稳态误差确保产品按照精确规格制造,从而提高质量并减少浪费。此外,值得注意的是,虽然追求零稳态误差通常是理想的,但由于系统中的物理限制或约束,这可能并不总是实用或可实现的。因此,工程师必须在精度需求与控制系统的速度、稳定性和鲁棒性等其他因素之间取得平衡。总之,稳态误差的概念在控制系统的设计和分析中发挥着基础作用。通过理解如何测量、分析和减轻这种误差,工程师可以创建高效运行并满足性能期望的系统。无论是在温度控制、机器人技术还是任何自动化过程,解决稳态误差是实现最佳结果和确保系统可靠性的关键。

相关单词

steady

steady详解:怎么读、什么意思、用法