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相关概念视频

Sampling Continuous Time Signal01:11

Sampling Continuous Time Signal

251
In signal processing, a continuous-time signal can be sampled using an impulse-train sampling technique, followed by the zero-order hold method. Impulse-train sampling involves the use of a periodic impulse train, which consists of a series of delta functions spaced at regular intervals determined by the sampling period. When a continuous-time signal is multiplied by this impulse train, it generates impulses with amplitudes corresponding to the signal's values at the sampling points.
In the...
251
Feedback control systems01:26

Feedback control systems

314
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...
314
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
Linear time-invariant Systems01:23

Linear time-invariant Systems

262
A system is linear if it displays the characteristics of homogeneity and additivity, together termed the superposition property. This principle is fundamental in all linear systems. Linear time-invariant (LTI) systems include systems with linear elements and constant parameters.
The input-output behavior of an LTI system can be fully defined by its response to an impulsive excitation at its input. Once this impulse response is known, the system's reaction to any other input can be...
262
PD Controller: Design01:26

PD Controller: Design

238
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,...
238
Basic Continuous Time Signals01:22

Basic Continuous Time Signals

212
Basic continuous-time signals include the unit step function, unit impulse function, and unit ramp function, collectively referred to as singularity functions. Singularity functions are characterized by discontinuities or discontinuous derivatives.
The unit step function, denoted u(t), is zero for negative time values and one for positive time values, exhibiting a discontinuity at t=0. This function often represents abrupt changes, such as the step voltage introduced when turning a car's...
212

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对具有异质延迟的连接车辆进行异步采样数据控制.

Shixi Wen1, Ge Guo2

  • 1School of Information and Engineering, Dalian University, Dalian, 116622, China; The Key Laboratory of Advanced Design and Intelligent Computing, Ministry of Education, Dalian University, Dalian, 116622, China.

ISA transactions
|January 7, 2024
PubMed
概括
此摘要是机器生成的。

本研究提出了一种异步采样数据控制方法,用于车辆车队,采样时间和延迟各不相同. 控制器确保了排的稳定性,并计算了可靠操作的最大采样间隔和延迟.

关键词:
非同步采样数据控制控制连接的车辆 连接的车辆不同质的时间延迟.弦的稳定性 弦的稳定性无定向的车辆间通信拓.

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科学领域:

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

背景情况:

  • 车辆排队需要强大的控制系统来确保安全运行.
  • 异步采样和执行器延迟在网络控制系统中构成重大挑战.
  • 异质的车辆动态和车辆间的拓结构使排队控制设计复杂化.

研究的目的:

  • 开发一种异步采样数据控制器,用于具有异质采样和执行器延迟的车辆车队.
  • 分析闭环跟踪错误动态,考虑不均的采样,车辆异质性和时间延迟.
  • 为了保证稳定性性能,并确定最大允许的采样间隔和时间延迟.

主要方法:

  • 为每个追随车辆设计一个异步采样数据控制器.
  • 将排跟踪错误动态分解为单个子系统,以进行简化分析.
  • 利用利亚普诺夫稳定理论来得出最佳的控制条件.
  • 将该方法扩展到车辆排队的基于事件的采样方案.

主要成果:

  • 为车辆排队提出了一种新的异步采样数据控制策略.
  • 控制器有效地管理异质采样,车辆动态和执行器延迟.
  • 稳定性得到保证,并提供了对最大采样间隔和延迟的精确计算.
  • 数字示例验证了拟议的控制方法的有效性.

结论:

  • 开发的异步采样数据控制方法提高了车辆排队的稳定性和可靠性.
  • 该方法解决了诸如非同步时钟和不同通信延迟等实际挑战.
  • 这些发现有助于推进自动驾驶和合作车辆系统的发展.