steady state error

简明释义

静态误差

英英释义

例句

1.To improve performance, the team implemented a PID controller to minimize the steady state error (稳态误差).

为了提高性能，团队实施了PID控制器以最小化steady state error（稳态误差）。

2.In a feedback loop, a large steady state error (稳态误差) indicates that the system is not accurately tracking the desired output.

在反馈回路中，较大的steady state error（稳态误差）表明系统未能准确跟踪期望输出。

3.Engineers aimed to reduce the steady state error (稳态误差) in the robotic arm's positioning.

工程师们旨在减少机器人手臂定位中的steady state error（稳态误差）。

4.The steady state error (稳态误差) can be calculated by analyzing the difference between the setpoint and the actual output.

通过分析设定点与实际输出之间的差异，可以计算出steady state error（稳态误差）。

5.The control system was adjusted to minimize the steady state error (稳态误差) in temperature regulation.

控制系统经过调整，以最小化温度调节中的steady state error（稳态误差）。

作文

In the field of control systems, understanding the concept of steady state error is crucial for engineers and practitioners alike. The term refers to the difference between the desired output of a system and the actual output when the system has settled into a stable condition after any transients have dissipated. Essentially, it is a measure of how accurately a control system can perform its intended function over time. A low steady state error indicates that the system is effectively achieving its target output, while a high error suggests that adjustments may be necessary to improve performance.To delve deeper into the implications of steady state error, consider a practical example in temperature control systems. Imagine a thermostat designed to maintain a specific room temperature. When the thermostat is set to 72 degrees Fahrenheit, the goal is for the room to reach and maintain this temperature. However, due to various factors such as heat loss through walls or the efficiency of the heating system, the actual temperature might stabilize at 70 degrees instead. In this scenario, the steady state error would be -2 degrees, meaning the system is consistently underperforming by two degrees.The presence of steady state error can arise from several sources, including system type (open-loop versus closed-loop), the nature of the input signal, and the parameters of the controller used. For instance, in a proportional control system, if the gain is not properly tuned, it may result in a persistent steady state error. This is because the proportional controller alone cannot eliminate the error; it can only reduce it to a certain level.To address steady state error, engineers often employ integral control strategies. Integral control adds a component to the control signal that accumulates the error over time, effectively eliminating the persistent error by adjusting the output until the desired state is achieved. This technique is widely used in PID (Proportional-Integral-Derivative) controllers, which are prevalent in industrial applications.However, it is essential to note that while reducing steady state error is important, it should not come at the cost of system stability. Aggressive tuning of the integral component can lead to oscillations and instability in the system response. Therefore, finding the right balance is key to ensuring both accuracy and stability in control systems.Moreover, the design of the system must also consider the type of input signals it will encounter. For example, step inputs or ramp inputs can produce different responses in terms of steady state error. Engineers need to analyze the expected performance under various conditions to ensure that the system can handle real-world scenarios effectively.In conclusion, the concept of steady state error is a fundamental aspect of control systems that reflects the accuracy with which a system can achieve its desired output over time. By understanding the sources of this error and employing appropriate control strategies, engineers can design more effective and reliable systems. Continuous learning and adaptation in control theory are vital for addressing the challenges posed by steady state error and improving overall system performance. As technology advances, the methods for managing and minimizing this error will undoubtedly evolve, leading to even greater efficiencies in control systems across various industries.

在控制系统领域，理解“稳态误差”的概念对工程师和从业者来说至关重要。该术语指的是当系统在任何瞬态消散后稳定到一个稳定状态时，期望输出与实际输出之间的差异。本质上，它是控制系统在时间上多么准确地执行其预期功能的衡量标准。低“稳态误差”表明系统有效地实现了其目标输出，而高误差则表明可能需要调整以改善性能。为了更深入地探讨“稳态误差”的含义，可以考虑温度控制系统中的实际例子。想象一下一个旨在维持特定室温的恒温器。当恒温器设置为华氏72度时，目标是让房间达到并保持这个温度。然而，由于墙壁的热量损失或加热系统的效率等各种因素，实际温度可能稳定在70度。在这种情况下，“稳态误差”将是-2度，意味着系统始终低于目标2度。“稳态误差”的存在可能源于几个方面，包括系统类型（开环与闭环）、输入信号的性质以及所使用控制器的参数。例如，在比例控制系统中，如果增益没有正确调节，可能会导致持续的“稳态误差”。这是因为仅靠比例控制器无法消除误差；它只能将误差减少到某个水平。为了应对“稳态误差”，工程师通常采用积分控制策略。积分控制向控制信号中添加一个组件，该组件随着时间的推移累积误差，通过调整输出直到实现期望状态，从而有效消除持续的误差。这种技术在PID（比例-积分-微分）控制器中广泛使用，这些控制器在工业应用中非常普遍。然而，必须注意的是，虽然减少“稳态误差”很重要，但不应以牺牲系统稳定性为代价。对积分组件的激进调节可能导致系统响应中的振荡和不稳定。因此，找到合适的平衡对于确保控制系统的准确性和稳定性至关重要。此外，系统的设计还必须考虑它将遇到的输入信号类型。例如，阶跃输入或斜坡输入可能会在“稳态误差”方面产生不同的响应。工程师需要分析在各种条件下的预期性能，以确保系统能够有效应对现实世界场景。总之，“稳态误差”的概念是控制系统的一个基本方面，反映了系统在时间上实现其期望输出的准确性。通过理解这种误差的来源并采用适当的控制策略，工程师可以设计出更有效和可靠的系统。在控制理论中持续学习和适应对于应对“稳态误差”带来的挑战和改善整体系统性能至关重要。随着技术的进步，管理和最小化这种误差的方法无疑会不断发展，从而在各个行业的控制系统中实现更大的效率。