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相关概念视频

PD Controller: Design01:26

PD Controller: Design

223
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,...
223
Time-Domain Interpretation of PD Control01:07

Time-Domain Interpretation of PD Control

98
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...
98
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
Controller Configurations01:22

Controller Configurations

95
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...
95
PID Controller01:19

PID Controller

117
Proportional-Integral-Derivative (PID) controllers are widely used in various control systems to enhance stability and performance. In a thermostat, it adjusts heating or cooling based on the temperature difference between the actual and desired levels. They are often used in automotive speed systems, effectively managing sudden speed changes while maintaining a constant speed under varying conditions. On the other hand, PI controllers, commonly employed in voltage regulation, enhance stability...
117

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相关实验视频

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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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模型预测控制速度依赖式主动悬架系统与道路预览信息的模型预测控制

Qiangqiang Li1, Zhiyong Chen1, Haisheng Song2

  • 1The State Key Laboratory of Automotive Simulation and Control, Jilin University, Changchun 130012, China.

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

本研究引入了积极悬挂的模型预测控制 (MPC),改善了对不同车速的减压控制. 先进的系统通过适应实时条件来提高驾驶舒适性和稳定性.

关键词:
活动悬浮剂活性悬浮剂线性参数变化 (LPV) 的变化模型预测控制 (MPC) 模型预测控制道路预览信息 道路预览信息

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科学领域:

  • 汽车工程 汽车工程
  • 控制系统工程 控制系统工程
  • 机械电子学是什么意思 机械电子学

背景情况:

  • 活动悬架系统对于车辆的稳定性和驾驶舒适性至关重要.
  • 传统的控制器与速度依赖的动态和时间延迟作斗争.
  • 模型预测控制 (MPC) 为先进的控制策略提供了一个框架.

研究的目的:

  • 开发一个增强的模型预测控制 (MPC) 方案,用于取决于速度的活性悬架.
  • 为了提高减噪控制在变化车辆速度下的性能.
  • 为了实现复杂的控制法律的简化在线实施.

主要方法:

  • 一个半车型的车型被增强了速度依赖的前和后轮时间延迟,使用帕德近似.
  • 应用了线性参数变化 (LPV) 技术来处理时间变化的参数.
  • 适应式卡尔曼波器被用于与传感器噪声的状态估计.
  • 使用多参数线性编程 (mp-LP) 来离线衍生出明确的控制规律.

主要成果:

  • 拟议的MPC方案显著改善了主动悬浮减压控制.
  • 在一系列的车辆速度中,表现得更好.
  • 控制器有效地管理了取决于速度的动态和时间延迟.
  • 在线实施通过基于查找表的解决方案搜索来简化.

结论:

  • 基于LPV的MPC为主动悬挂控制提供了强大而有效的解决方案.
  • 与被动控制策略相比,该方法提供了更高的性能.
  • 这种方法在动态运行条件下增强了车辆动态控制.