数据驱动的车辆稳定控制通过数字双胞胎和受约束的MPC的共同模拟
Mu Lin1, Zhengwei Zhang2, Min Huang2
1Zhejiang Institute of Communications, Hangzhou, Zhejiang, China. linmu_7@163.com.
Scientific reports
|December 17, 2025
概括
本研究介绍了一个数字双胞胎和模型预测控制 (MPC) 框架,以提高智能汽车的稳定性. 新系统在高速机动中显著降低了横向稳定性和曲率错误.
科学领域:
- 汽车工程 汽车工程
- 控制系统 控制系统
- 人工智能的人工智能
背景情况:
- 车辆的横向稳定性对于智能连接车辆 (ICV) 和自动驾驶的安全至关重要.
- 传统的控制方法难以应对复杂的驾驶场景,如高速或应急方向盘.
- 需要先进的控制策略来提高车辆的操控和稳定性.
研究的目的:
- 提出一个新的共同模拟框架,将数字双胞胎技术与受约束的模型预测控制 (MPC) 整合在一起.
- 为了提高车辆的侧向稳定性和优化智能车辆的扭矩分布.
- 在极端驾驶条件下解决传统控制策略的局限性.
主要方法:
- 开发一种高保真度数字双胞胎模型,以提高实时准确度.
- 一个受约束的模型预测控制 (MPC) 控制器的设计,以优化处理.
- 数字双胞胎与MPC的集成,以实现动态,数据驱动的实时优化.
主要成果:
- 侧向稳定性误差显著减少了62.5%.
- 与传统方法相比,率误差显著减少了57.1%.
- 在处理极端驾驶条件时,表现出更好的性能.
结论:
- 拟议的数字双一体化MPC框架有效地提高了车辆的侧向稳定性和扭矩分布.
- 动态,数据驱动的集成为智能汽车控制提供了强大的解决方案.
- 这些发现为先进智能汽车开发提供了理论基础和技术支持.
相关概念视频
PD Controller: Design
588
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,...
Designing a continuous-data controller requires selecting and linking components like adders and integrators, which are fundamental in Proportional,...
588
Root-Locus Method
445
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...
This system can be represented by a block...
445
Controller Configurations
333
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...
Control-system compensation involves various configurations, most commonly series or cascade compensation, in which the controller...
333
Pole and System Stability
864
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...
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...
864
Time-Domain Interpretation of PD Control
348
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...
Consider the example of control of motor torque. Initially, a positive...
348
Open and closed-loop control systems
1.5K
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...
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...
1.5K


