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相关概念视频

Structural Classification of Joints01:20

Structural Classification of Joints

3.5K
Joints, also known as articulations, are classified based on their structural characteristics, i.e., based on whether the articulating surfaces of the adjacent bones are directly connected by fibrous connective tissue or cartilage, or whether the articulating surfaces contact each other within a fluid-filled joint cavity. These differences serve to divide the joints of the body into three structural classifications.
A fibrous joint is where the adjacent bones are united by fibrous connective...
3.5K
Deformation of Member under Multiple Loadings01:11

Deformation of Member under Multiple Loadings

168
When a rod is made of different materials or has various cross-sections, it must be divided into parts that meet the necessary conditions for determining the deformation. These parts are each characterized by their internal force, cross-sectional area, length, and modulus of elasticity. These parameters are then used to compute the deformation of the entire rod.
In the case of a member with a variable cross-section, the strain is not constant but depends on the position. The deformation of an...
168
Dynamic Modulus of Elasticity of Concrete01:16

Dynamic Modulus of Elasticity of Concrete

357
The dynamic modulus of elasticity assesses how a concrete structure deforms under impact or dynamic loads. It is typically higher than the static modulus of elasticity, measured under slow, steady loading conditions.
The sonic test is a common method to determine the dynamic modulus. In this test, a concrete beam, sized either 6 x 6 x 30 inches or 4 x 4 x 20 inches, is clamped at its center. Vibrations are initiated at one end of the beam by an electromagnetic exciter unit powered by...
357
Residual Stresses in Bending01:18

Residual Stresses in Bending

178
In the study of elastoplastic members subjected to bending moments, understanding the loading and unloading phases is crucial for assessing material behavior and structural integrity. During the loading phase, as the bending moment increases, the material initially responds elastically, adhering to Hooke's Law, where stress is directly proportional to strain. When the load exceeds the yield strength, plastic deformation occurs, resulting in permanent strain and deformation that remains even...
178
Beams with Unsymmetric Loadings01:17

Beams with Unsymmetric Loadings

123
Analyzing a supported beam under unsymmetrical loadings is essential in structural engineering to understand how beams respond to varied force distributions. This analysis involves calculating the deflection and identifying points where the slope of the beam is zero, which are crucial for ensuring structural stability and functionality.
The first moment-area theorem determines the slope at any point on the beam. This theorem indicates that the change in slope between two points on a beam...
123
Method of Joints: Problem Solving II01:30

Method of Joints: Problem Solving II

592
Consider a truss structure with frictionless joints fixed to a wall and roller support. If a force of 150 N is applied to joint A, the forces in each member of the truss can be determined using the method of joints.
592

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相关实验视频

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Subject-specific Musculoskeletal Model for Studying Bone Strain During Dynamic Motion
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基于侧面硬度的车辆状态联合估计.

Lingxiao Quan1,2, Ronglei Chang1, Changhong Guo1

  • 1School of Mechanical Engineering, Yanshan University, Qinhuangdao 066004, China.

Sensors (Basel, Switzerland)
|November 14, 2023
PubMed
概括

这项研究引入了电动汽车的新型联合估计器,使用先进的卡尔曼波器算法准确估计汽车状态和侧面度. 在模拟和实验中,LS-SRGHCKF方法表现出卓越的有效性和稳定性.

关键词:
在 LS-GHCKF/SRGHCKF 中.两条车道的变化是双变的车轮内发动机 车轮内发动机一个共同的估计者.侧面的硬度 侧面的硬度后置驱动器 - 后置驱动器坚固性 坚固性 坚固性电动汽车的运行状态斯拉洛姆运动是斯拉洛姆运动.

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Oscillation and Reaction Board Techniques for Estimating Inertial Properties of a Below-knee Prosthesis
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相关实验视频

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科学领域:

  • 车辆动力学和控制系统
  • 估计理论和算法的算法.
  • 电动汽车 (EV) 技术技术

背景情况:

  • 准确估计车辆运行状态对于先进的驾驶辅助系统 (ADAS) 和车辆控制至关重要.
  • 传统的方法往往难以实时估计诸如侧面硬等参数,特别是在电动汽车 (EV) 中.
  • 车轮内电机驱动的电动汽车具有独特的动态,需要专门的估计技术.

研究的目的:

  • 开发和验证一种联合估计方法,用于同时估计后驱,内轮电动电动汽车的车辆状态和侧面度.
  • 使用先进的过技术,提高车辆状态估计的准确性和稳定性.
  • 通过模拟和实验验证,评估拟议方法的性能.

主要方法:

  • 建立了一个三度自由度的非线性车辆模型,包括纵向速度,横向速度和斜率.
  • 一个线性化魔术轮胎模型被用来计算低速的横向力.
  • 一个具有遗忘因子的最小平方 (LS) 算法被设计用于横向刚度估计.
  • 一般化的高度立方卡尔曼波器 (GHCKF) 和它的平方根版本 (SRGHCKF) 用于车辆状态估计.
  • 开发了一个结合LS和GHCKF/SRGHCKF算法的联合估计器.

主要成果:

  • 模拟 (双变车道,滑雪) 和低速驾驶实验验证了联合估计器的准确性.
  • 拟议的LS-GHCKF/SRGHCKF算法准确地估计了实时车辆状态,包括横向刚度,纵向速度,横向速度和斜率.
  • 与LS-GHCKF算法相比,LS-SRGHCKF算法显示出更高的有效性和稳定性.
  • 来自INS,GPS,RTK和角度传感器的实验数据证实了算法的可行性.

结论:

  • 基于LS-GHCKF/SRGHCKF算法开发的车辆状态联合估计器为电动汽车提供了准确的实时状态估计.
  • LS-SRGHCKF算法提供了增强的性能和稳定性,使其适合于实际的电动汽车应用.
  • 这项研究通过精确的状态和参数估计,有助于改善车辆控制和安全.