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相关概念视频

PD Controller: Design01:26

PD Controller: Design

208
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,...
208
Time-Domain Interpretation of PD Control01:07

Time-Domain Interpretation of PD Control

86
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...
86
Controller Configurations01:22

Controller Configurations

90
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...
90
Open and closed-loop control systems01:17

Open and closed-loop control systems

700
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...
700
Rolling Resistance: Problem Solving01:17

Rolling Resistance: Problem Solving

310
Rolling resistance, also known as rolling friction, is the force that resists the motion of a rolling object, such as a wheel, tire, or ball, when it moves over a surface. It is caused by the deformation of the object and the surface in contact with each other, as well as other factors like internal friction, hysteresis, and energy losses within the materials. Rolling resistance opposes the object's motion, requiring additional energy to overcome it and maintain movement. In practical...
310
Feedback control systems01:26

Feedback control systems

298
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...
298

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相关实验视频

Updated: Jun 17, 2025

Design and Application of a Fault Detection Method Based on Adaptive Filters and Rotational Speed Estimation for an Electro-Hydrostatic Actuator
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分布式驱动电动汽车处理稳定性协调控制框架基于自适应模型预测控制

Jianhua Guo1, Zhiyuan Dai1, Ming Liu2

  • 1National Key Laboratory of Automotive Chassis Integration and Bionics, Changchun 130022, China.

Sensors (Basel, Switzerland)
|August 10, 2024
PubMed
概括

本研究介绍了电动汽车的自适应模型预测控制 (AMPC) 框架. 新的AMPC战略提高了车辆的机动性和稳定性,特别是在极端条件下.

关键词:
在 AMPC 中,AMPC 是指 AMPC 的成员.分布式驱动电动汽车的电动汽车.提供稳定的稳定性.重量因素重量因素的重量.

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科学领域:

  • 汽车工程 汽车工程
  • 控制系统 控制系统
  • 机器人技术 机器人技术 机器人技术

背景情况:

  • 分布式驱动电动汽车通过独立的电机控制提供了更好的转向和稳定性.
  • 协调这些车辆的驾驶稳定性对于性能和安全至关重要.

研究的目的:

  • 引入一种新的自适应模型预测控制 (AMPC) 框架,以提高分布式驱动电动汽车的驾驶稳定性.
  • 开发一个多层控制策略,动态调整以优化机动性和稳定性.

主要方法:

  • 一个三层的控制框架:动态监督,在线优化和低级控制.
  • 动态监督层建立稳定性边界并设计可变的重量因子.
  • 在线优化层实现重量适应AMPC策略,用于实时控制调整.
  • 低级控制层使用扭矩分配误差和轮胎利用率作为精确的力和时刻分配的成本函数.

主要成果:

  • 拟议的AMPC战略与传统的MPC相比,表现优越.
  • 在正常驾驶条件下观察到增强的机动性.
  • 在极端条件下实现了显著改善的横向稳定性控制.

结论:

  • 开发的AMPC框架有效地协调分布式驱动电动汽车的处理稳定性.
  • 适应性,多层次的方法为标准和具有挑战性的驾驶场景提供了强大的控制.