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相关概念视频

Linear Approximation in Frequency Domain01:26

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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....
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Phase-lag controllers are widely used in control systems to improve stability and reduce steady-state errors. A dimmer switch controlling the brightness of a light bulb serves as a practical example of phase-lag control, gradually adjusting the bulb's brightness. Mathematically, phase-lag control or low-pass filtering is represented when the factor 'a' is less than 1.
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An idealized LC circuit of zero resistance can oscillate without any source of emf by shifting the energy stored in the circuit between the electric and magnetic fields. In such an LC circuit, if the capacitor contains a charge q before the switch is closed, then all the energy of the circuit is initially stored in the electric field of the capacitor. This energy is given by
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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.
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Load-frequency control (LFC) is vital for maintaining power system stability, ensuring that frequency and power flows remain within acceptable limits during load changes. Turbine-governor control eliminates rotor accelerations and decelerations following load changes. However, a steady-state frequency error persists when the change in the turbine-governor reference setting is zero. In an interconnected power system, each area agrees to export or import a scheduled amount of power through...
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一个低延迟的数字伺服器,用于光学频率平稳定.

Ziqi Wang1,2, Yu Wang1,2, Danyang Zhu3,4,5

  • 1State Key Laboratory of Particle Detection and Electronics, University of Science and Technology of China, No. 96, Jinzhai Road, Hefei, Anhui, China.

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概括

本研究介绍了一种低延迟的数字伺服系统,用于稳定光频. 新系统实现了1.1 MHz的控制带宽,大大提高了精度光谱和计量应用.

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科学领域:

  • 物理 物理学 物理
  • 光学工程是指光学工程.

背景情况:

  • 光学频率对于精密光谱学和计量学至关重要,需要高稳定性和精度.
  • 数字伺服系统为光学频率稳定提供了成本效益和灵活性,但受到控制带宽的限制.

研究的目的:

  • 开发和验证一个低延迟的数字伺服系统,用于光学频率稳定.
  • 为了克服传统数字伺服系统的带宽限制.

主要方法:

  • 在定制的现场可编程网关阵列 (FPGA) 数字板上实现数字伺服系统.
  • 优化过和相位检测算法以减少计算延迟.
  • 将光学频率的重复率锁定在1560nm超稳定激光器上.

主要成果:

  • 实现了1.1 MHz的控制带宽.
  • 在保持精度的同时降低了计算延迟.
  • 在1秒内显示了7.27 × 10-18的修改的艾伦偏差,正常化为光学频率.

结论:

  • 拟议的低延迟数字伺服系统有效地增强了光学频率稳定.
  • 该系统的性能验证了其适用于先进精度光谱学和计量学的适用性.
  • 基于FPGA的数字伺服系统为高带宽光学频率控制提供了有前途的解决方案.