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相关概念视频

Bandpass Sampling01:17

Bandpass Sampling

198
In signal processing, bandpass sampling is an effective technique for sampling signals that have most of their energy concentrated within a narrow frequency band. This type of signal is known as a bandpass signal. The key principle of bandpass sampling involves sampling the signal at a rate that is greater than twice the signal's bandwidth to prevent aliasing.
A bandpass signal has a spectrum with a lower frequency limit, denoted as ω1, and an upper frequency limit, denoted as ω2....
198
Active Filters01:25

Active Filters

848
Active filters are electronic circuits that use operational amplifiers (op-amps), resistors, and capacitors to filter out unwanted frequency components from a signal. A first-order low-pass active filter is designed to pass signals with a frequency lower than a certain cutoff frequency and attenuate frequencies higher than that cutoff frequency. The transfer function for a first-order low-pass active filter is:
848
Time and frequency -Domain Interpretation of PI Control01:27

Time and frequency -Domain Interpretation of PI Control

153
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...
153
Time-Domain Interpretation of PD Control01:07

Time-Domain Interpretation of PD Control

136
Proportional-Derivative (PD) control is a widely used control method in various engineering systems to enhance stability and performance. In a system with only proportional control, common issues include high maximum overshoot and oscillation, observed in both the error signal and its rate of change. This behavior can be divided into three distinct phases: initial overshoot, subsequent undershoot, and gradual stabilization.
Consider the example of control of motor torque. Initially, a positive...
136
Passive Filters01:27

Passive Filters

556
Passive filters are utilized to shape the frequency spectrum of signals across a diverse array of applications. These filters, using only passive elements like resistors (R), inductors (L), and capacitors (C), are capable of selectively allowing or blocking certain frequency ranges without the need for external power sources.
Low-Pass Filters
Low-pass filters are designed to transmit signals with frequencies lower than the cutoff frequency, ωc, and attenuate those above it. The cutoff...
556
Frequency-Domain Interpretation of PD Control01:24

Frequency-Domain Interpretation of PD Control

130
Proportional-Derivative (PD) controllers are widely used in fan control systems to improve stability and performance. A fan control system can be effectively represented using a Bode plot to illustrate the impact of a PD controller through its transfer function. The Bode plot visually conveys how PD control modifies the fan's response across various frequencies, providing a frequency domain interpretation of the controller's behavior.
The proportional control gain, combined with the...
130

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相关实验视频

Updated: Jul 16, 2025

Gain-compensation Methodology for a Sinusoidal Scan of a Galvanometer Mirror in Proportional-Integral-Differential Control Using Pre-emphasis Techniques
09:01

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基于并行过器的观察者控制用于未知的多重窄带干扰排斥.

TianRong Xu1, Nian Feng2, Yong Ruan2

  • 1Key Laboratory of Optical Engineering, Chinese Academy of Sciences, Chengdu, 610209, China; Institute of Optics and Electronics, Chinese Academy of Sciences, Chengdu, 610209, China.

ISA transactions
|September 21, 2023
PubMed
概括

这项研究引入了一种新的平行Q波器,用于基于观察者的控制,通过有效拒绝窄带干扰来增强望远镜的视线稳定性. 这种方法减少了复杂性,并提高了关键光学系统的性能.

关键词:
适应观察者控制控制.多个频率的多个频率.狭带干扰是一种狭带干扰.平行 Q 过器

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科学领域:

  • 控制系统工程 控制系统工程
  • 光学工程是指光学工程.
  • 机器人技术 机器人技术 机器人技术

背景情况:

  • 基于观察者的控制对于望远镜视线稳定至关重要.
  • 高级Q过器用于拒绝干扰可能会导致实现问题和性能恶化.
  • 精确的数字实施Q波器是复杂的干扰拒绝的挑战.

研究的目的:

  • 提出一种新的基于观察者的控制方法,使用并行Q波器.
  • 为了有效地拒绝望远镜稳定系统中未知的多重窄带干扰.
  • 为了减少计算复杂性和提高闭环性能.

主要方法:

  • 引入了一种新的并行Q过器设计,以灵活调整过器顺序.
  • 通过优化Q-过器配置,可以降低计算复杂性.
  • 在线识别干扰频率可以实现自适应Q波器参数的优化.
  • 平行Q波器的稳定性条件通过模拟得出并验证.

主要成果:

  • 平行Q过器设计有效降低了计算负载.
  • 拟议的方法证明了对多个窄带干扰的强有力的拒绝.
  • 保持闭环稳定性,提高性能.
  • 对Q波器参数的自适应优化提高了干扰排斥的准确性.

结论:

  • 基于观察者的平行Q过控制方法为望远镜稳定提供了一个计算高效的解决方案.
  • 该方法成功地解决了数字实现中与高阶Q过器相关的挑战.
  • 在大型衍射望远镜上验证,该方法在现实应用中被证明是有效的.