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相关概念视频

Open and closed-loop control systems01:17

Open and closed-loop control systems

678
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...
678
Multi-input and Multi-variable systems01:22

Multi-input and Multi-variable systems

103
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...
103
Multimachine Stability01:25

Multimachine Stability

150
Multimachine stability analysis is crucial for understanding the dynamics and stability of power systems with multiple synchronous machines. The objective is to solve the swing equations for a network of M machines connected to an N-bus power system.
In analyzing the system, the nodal equations represent the relationship between bus voltages, machine voltages, and machine currents. The nodal equation is given by:
150
Feedback control systems01:26

Feedback control systems

296
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...
296
Time-Domain Interpretation of PD Control01:07

Time-Domain Interpretation of PD Control

85
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...
85
Control of Power Flow01:30

Control of Power Flow

255
There are several methods to control power flow in power systems:
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在复杂环境中的PMSM矢量控制系统中应用滑动模式变量结构控制算法.

Haoran Cui1

  • 1College of Information Science and Engineering, Northeastern University, Shenyang, China.

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概括
此摘要是机器生成的。

一个新的非对称滑动模式控制 (ASMC) 算法有效地抑制了永久磁铁同步电机 (PMSM) 控制中的喋喋不休. 这种先进的方法提高了系统的稳定性和性能,提供更流的输出和更好的速度调节质量.

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科学领域:

  • 电气工程 电气工程
  • 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:

  • 工业生产需要高性能控制系统.
  • 传统的滑动模式控制受到显著的喋喋不休,影响精度.
  • 永久磁铁同步电机 (PMSM) 需要先进的控制以获得最佳性能.

研究的目的:

  • 设计一种新的控制算法,即异常滑动模式控制 (ASMC),以解决滑动模式控制中的喋喋不休问题.
  • 为了提高永磁同步电机 (PMSM) 控制系统的性能和精度.
  • 提高PMSM的速度调节质量和自我稳定性.

主要方法:

  • 构建了一个传统的滑动模式指数近似法规控制模型.
  • 开发了基于滑动模式控制原理的状态空间和控制功能.
  • 整合了ASMC算法与滑动模式控制,通过消除动因素来精确控制PMSM.

主要成果:

  • ASMC显著抑制了系统的聊,将动幅度降低了1/3.
  • 在模拟中,该系统在0.2-0.3秒内实现了快速稳定.
  • 在参数变化下,ASMC表现出强大的自我稳定性,极小的超越 (2.8%) 和稳定的输出扭矩.
  • 实际实验显示,在无负荷干扰下,电流指令振荡减少,输出波动较小.

结论:

  • ASMC算法有效地减轻了滑动模式控制中固有的喋喋不休的问题.
  • ASMC提高了系统接近速度,并提高了PMSM的整体速度调节质量.
  • 这种新的算法对PMSM矢量控制系统具有重要的理论和实践价值.