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相关概念视频

PD Controller: Design01:26

PD Controller: Design

226
In automotive engineering, car suspension systems often employ Proportional Derivative (PD) controllers to enhance performance. PD controllers are utilized to adjust the damping force in response to road conditions. A controller, acting as an amplifier with a constant gain, demonstrates proportional control, with output directly mirroring input.
Designing a continuous-data controller requires selecting and linking components like adders and integrators, which are fundamental in Proportional,...
226
Controller Configurations01:22

Controller Configurations

96
Controller configurations are crucial in a car's cruise control system because they manage speed over time to maintain a consistent pace regardless of road conditions, thereby meeting design goals. In traditional control systems, fixed-configuration design involves predetermined controller placement. System performance modifications are known as compensation.
Control-system compensation involves various configurations, most commonly series or cascade compensation, in which the controller...
96
Feedback control systems01:26

Feedback control systems

308
Feedback control systems are categorized in various ways based on their design, analysis, and signal types.
Linear feedback systems are theoretical models that simplify analysis and design. These systems operate under the principle that their output is directly proportional to their input within certain ranges. For instance, an amplifier in a control system behaves linearly as long as the input signal remains within a specific range. However, most physical systems exhibit inherent nonlinearity...
308
Open and closed-loop control systems01:17

Open and closed-loop control systems

738
Control systems are foundational elements in automation and engineering. They are broadly categorized into open-loop and closed-loop systems. These classifications hinge on the presence or absence of feedback mechanisms, significantly influencing the system's performance, complexity, and application.
An open-loop control system operates without feedback from the output. It consists of two primary elements: the controller and the controlled process. The controller receives an input signal...
738
Root-Locus Method01:19

Root-Locus Method

148
A cruise control system in a car is designed to maintain a specified speed automatically by adjusting the gas pedal. The system continuously measures the vehicle's speed and makes fine adjustments to the pedal to achieve this goal. The root locus method is particularly useful for understanding how the cruise control system's behavior changes under varying conditions, such as when the car goes uphill, downhill, or faces strong wind resistance.
This system can be represented by a block...
148
Multi-input and Multi-variable systems01:22

Multi-input and Multi-variable systems

106
Cruise control systems in cars are designed as multi-input systems to maintain a driver's desired speed while compensating for external disturbances such as changes in terrain. The block diagram for a cruise control system typically includes two main inputs: the desired speed set by the driver and any external disturbances, such as the incline of the road. By adjusting the engine throttle, the system maintains the vehicle's speed as close to the desired value as possible.
In the absence...
106

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开发基于实际驾驶员偏好的驾驶员适应性车道保持辅助系统的方法.

Jiachen Chen1, Hui Chen1, Xiaoming Lan1

  • 1School of Automotive Studies, Tongji University, Shanghai 201804, China.

Sensors (Basel, Switzerland)
|March 13, 2024
PubMed
概括

本研究引入了一种驾驶员适应车道维护辅助 (DALKA) 系统,该系统学习驾驶员的个人偏好. 这种新的方法通过调整系统来提高驾驶员的满意度.

科学领域:

  • 汽车工程 汽车工程
  • 人与计算机的交互
  • 机器学习 机器学习

背景情况:

  • 车道维护辅助 (LKA) 系统旨在适应个体驾驶员,但经常假设驾驶员的偏好与自然驾驶相匹配.
  • 这种假设限制了当前适应性LKA系统的有效性.

研究的目的:

  • 开发一种新的驾驶员自适应车道维护辅助 (DALKA) 系统,准确地反映个人驾驶员的实际偏好.
  • 通过个性化LKA行为来提高驾驶员满意度和系统效率.

主要方法:

  • 从自然驾驶数据中提取指标,使用行动点理论来描述驾驶员.
  • 利用主观和客观的评估来确定司机真正的LKA偏好.
  • 采用机器学习来建模驾驶特征和偏好之间的关系,将预测集成到DALKA系统中.

主要成果:

  • 由测试驾驶员主观评估开发的DALKA系统.
  • 结果表明,拟议的DALKA系统可以增强或维持大多数驾驶员的主观评价.

结论:

  • 这种新的方法有效地捕捉并将个人驾驶员的偏好集成到适应性LKA系统中.
  • 根据实际驾驶员偏好个性化LKA系统可以提高用户体验和满意度.
关键词:
驾驶员适应 适应 适应车道维护辅助系统机器学习是机器学习.自然主义的驾驶特征.主观和客观的评估评估.

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