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相关概念视频

Conservation of Angular Momentum: Application01:18

Conservation of Angular Momentum: Application

10.9K
A system's total angular momentum remains constant if the net external torque acting on the system is zero. Examples of such systems include a freely spinning bicycle tire that slows over time due to torque arising from friction, or the slowing of Earth's rotation over millions of years due to frictional forces exerted on tidal deformations. However in the absence of a net external torque, the angular momentum remains conserved. The conservation of angular momentum principle requires a...
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Linear time-invariant Systems01:23

Linear time-invariant Systems

245
A system is linear if it displays the characteristics of homogeneity and additivity, together termed the superposition property. This principle is fundamental in all linear systems. Linear time-invariant (LTI) systems include systems with linear elements and constant parameters.
The input-output behavior of an LTI system can be fully defined by its response to an impulsive excitation at its input. Once this impulse response is known, the system's reaction to any other input can be...
245
Pole and System Stability01:24

Pole and System Stability

275
The transfer function is a fundamental concept representing the ratio of two polynomials. The numerator and denominator encapsulate the system's dynamics. The zeros and poles of this transfer function are critical in determining the system's behavior and stability.
Simple poles are unique roots of the denominator polynomial. Each simple pole corresponds to a distinct solution to the system's characteristic equation, typically resulting in exponential decay terms in the system's...
275
Conservation of Angular Momentum01:09

Conservation of Angular Momentum

10.2K
A system's total angular momentum remains constant if the net external torque acting on the system is zero. Considering a system that consists of n tiny particles, the angular momentum of any tiny particle may change, but the system's total angular momentum would remain constant. The principle of conservation of angular momentum only considers the net external torque acting on the system. While there are internal forces exerted by different particles within the system that also produce...
10.2K
Distributed Loads: Problem Solving01:21

Distributed Loads: Problem Solving

639
Beams are structural elements commonly employed in engineering applications requiring different load-carrying capacities. The first step in analyzing a beam under a distributed load is to simplify the problem by dividing the load into smaller regions, which allows one to consider each region separately and calculate the magnitude of the equivalent resultant load acting on each portion of the beam. The magnitude of the equivalent resultant load for each region can be determined by calculating...
639
Ampere-Maxwell's Law: Problem-Solving01:17

Ampere-Maxwell's Law: Problem-Solving

613
A parallel-plate capacitor with capacitance C, whose plates have area A and separation distance d, is connected to a resistor R and a battery of voltage V. The current starts to flow at t = 0. What is the displacement current between the capacitor plates at time t? From the properties of the capacitor, what is the corresponding real current?
To solve the problem, we can use the equations from the analysis of an RC circuit and Maxwell's version of Ampère's law.
For the first part of...
613

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相关实验视频

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Simulating Imaging of Large Scale Radio Arrays on the Lunar Surface
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一个带有混乱惯性权重的Wild Horse优化算法及其在线性天线阵列合成中的应用.

WanRu Zhao1, Yan Liu1, JianHui Li1

  • 1School of Physics and Electronic Information, Yunnan Normal University, Kunming, Yunnan Province, China.

PloS one
|July 5, 2024
PubMed
概括

本研究引入了一种新的混乱惯性加权野生马优化 (IERWHO) 算法,以减少线性天线阵列中的侧叶水平. IERWHO算法有效地优化天线参数,以改善辐射模式.

科学领域:

  • 电气工程 电气工程
  • 计算机科学 计算机科学
  • 优化算法 优化算法

背景情况:

  • 天线对于通信系统至关重要,但在天线阵列中降低侧叶水平 (SLL) 是一个重大挑战.
  • 智能天线模式合成对于雷达和通信系统至关重要,推动了对高效优化技术的研究.

研究的目的:

  • 提出一种有效的技术,以尽量减少线性天线阵列 (LAA) 中的最大侧叶水平 (SLL).
  • 用一种新的优化算法来改善天线阵列的辐射模式.

主要方法:

  • 混乱惯性加权野生马优化 (IERWHO) 算法是通过增强野生马优化器 (WHO) 以混乱序列,非线性因子和惯性权重来开发的.
  • 首次将IERWHO算法应用于天线阵列合成,优化元素间距和激发.
  • 使用12个基准测试函数和12个额外的测试函数来评估性能.

主要成果:

  • IERWHO算法在最小化线性天线阵列的SLL方面表现出有效性.
  • 优化元素间距和激发参数成功改善了辐射模式.
  • 模拟结果验证了算法的性能和改进策略.

结论:

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  • 拟议的IERWHO算法是用于天线阵列合成的有效方法.
  • 这种优化技术成功地将SLL最小化,同时遵守约束.
  • IERWHO算法对天线优化和更广泛的优化领域的应用非常有希望.