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相关概念视频

Time and frequency -Domain Interpretation of Phase-lead Control01:24

Time and frequency -Domain Interpretation of Phase-lead Control

105
Phase-lead controllers are commonly used in various control systems to enhance response speed and stability. Adjusting the brightness on a television screen offers a practical example of phase-lead control. When contrast is enhanced, a phase-lead controller is employed. Mathematically, phase-lead control is identified when the first parameter is smaller than the second.
The design of phase-lead control involves the strategic placement of poles and zeros to balance steady-state error and system...
105
Linear Approximation in Frequency Domain01:26

Linear Approximation in Frequency Domain

112
Linear systems are characterized by two main properties: superposition and homogeneity. Superposition allows the response to multiple inputs to be the sum of the responses to each individual input. Homogeneity ensures that scaling an input by a scalar results in the response being scaled by the same scalar.
In contrast, nonlinear systems do not inherently possess these properties. However, for small deviations around an operating point, a nonlinear system can often be approximated as linear....
112
Linear Approximation in Time Domain01:21

Linear Approximation in Time Domain

102
Nonlinear systems often require sophisticated approaches for accurate modeling and analysis, with state-space representation being particularly effective. This method is especially useful for systems where variables and parameters vary with time or operating conditions, such as in a simple pendulum or a translational mechanical system with nonlinear springs.
For a simple pendulum with a mass evenly distributed along its length and the center of mass located at half the pendulum's length,...
102
Time and frequency -Domain Interpretation of PI Control01:27

Time and frequency -Domain Interpretation of PI Control

161
Proportional-Integral (PI) controllers are essential in many control systems to improve stability and performance. They are commonly used in everyday devices like thermostats to enhance system damping and reduce steady-state error. When the zero in the controller's transfer function is optimally placed, the system benefits significantly in terms of stability and accuracy.
Acting as a low-pass filter, the PI controller slows the system's response and extends settling times. This requires...
161
PI Controller: Design01:24

PI Controller: Design

338
Proportional Integral (PI) controllers are a fundamental component in modern control systems, widely used to enhance performance and mitigate steady-state errors. They are particularly effective in applications such as automatic brightness adjustment on smartphones, where they excel at mitigating steady-state errors for step-function inputs. Unlike PD controllers, which require time-varying errors to function optimally, PI controllers leverage their integral component to address residual...
338
Phase-lead and Phase-lag Controllers01:22

Phase-lead and Phase-lag Controllers

200
Understanding the working function of different types of controllers can be illustrated with practical analogies, such as adjusting a stereo's volume equalizer. Cranking up the bass involves a phase-lead controller, which functions as a high-pass filter, while increasing the treble uses a phase-lag controller, which acts as a low-pass filter. PD controllers, similar to high-pass filters, enhance the system's response to high-frequency components. PI controllers, akin to low-pass...
200

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相关实验视频

Updated: Jul 22, 2025

Characterization of SiN Integrated Optical Phased Arrays on a Wafer-Scale Test Station
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对于相位生成载体位置传感器的直接非线性参数估计方法.

Haoyu Zhao, Zhimou Xu, Donglin Ma

    Optics express
    |July 21, 2023
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    概括
    此摘要是机器生成的。

    这项研究引入了一种新的阶段生成载体 (PGC) 方法,用于准确的干扰度测量. 这种新方法简化了数据要求,并增强了信号解调,克服了传统技术的局限性.

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    相关实验视频

    Last Updated: Jul 22, 2025

    Characterization of SiN Integrated Optical Phased Arrays on a Wafer-Scale Test Station
    05:57

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    Published on: April 1, 2020

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    A Protocol for Real-time 3D Single Particle Tracking
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    科学领域:

    • 光学和光子学 在光学和光子学.
    • 计量学 计量学 计量学
    • 信号处理 信号处理

    背景情况:

    • 阶段生成载体 (PGC) 对于干扰度测量 (如距离,振动和速度) 是至关重要的.
    • 传统的PGC方法由于非线性效应和信号调节问题而面临限制.
    • 现有的修改后的PGC方法,如圆拟合算法 (EFA),通常需要额外的相位移.

    研究的目的:

    • 开发一种简化和准确的PGC方法来进行干扰度相位估计.
    • 克服非线性效应的局限性,减少数据采集要求.
    • 为了实现相调深度和相位测量的高精度.

    主要方法:

    • 使用单个信号周期和一个测试点来准确估计参数.
    • 在数据采集过程中使用光二极管进行光强度校准.
    • 实现一个Levenburg-Marquardt算法用于PGC参数估计.
    • 开发一个改进的算法,以防止本地优化,并确保测量稳定性.

    主要成果:

    • 达到的相位测量不确定性低于5 × 10-3 rad.
    • 获得的信号对噪声和扭曲比 (SINAD) 超过55dB.
    • 证明了相位调节和相位的精确深度,数据最小.

    结论:

    • 拟议的PGC方法在传统技术上提供了显著的改进.
    • 这种方法提供了高准确性和稳定性,数据要求降低.
    • 它适用于各种应用中的精确干扰度测量.