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相关概念视频

PID Controller01:19

PID Controller

242
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...
242
Time-Domain Interpretation of PD Control01:07

Time-Domain Interpretation of PD Control

183
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...
183
Open and closed-loop control systems01:17

Open and closed-loop control systems

1.0K
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...
1.0K
Feedback control systems01:26

Feedback control systems

436
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...
436
PD Controller: Design01:26

PD Controller: Design

358
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,...
358
PI Controller: Design01:24

PI Controller: Design

508
Proportional Integral (PI) controllers are a fundamental component in modern control systems, widely used to enhance performance and mitigate steady-state errors. They are particularly effective in applications such as automatic brightness adjustment on smartphones, where they excel at mitigating steady-state errors for step-function inputs. Unlike PD controllers, which require time-varying errors to function optimally, PI controllers leverage their integral component to address residual...
508

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相关实验视频

Updated: Sep 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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PMSM无传感器控制基于超扭曲算法滑动模式观察员与IAORLS参数估计.

Hui Zhang1, Peng Ran2, Zehua Zhang2

  • 1College of Computer and Control Engineering, Qiqihar University, Qiqihar, 161000, China. zh@qqhru.edu.cn.

Scientific reports
|July 2, 2025
PubMed
概括
此摘要是机器生成的。

这项研究引入了一种新的算法,以准确识别表面固定永久磁铁同步电机 (SPMSM) 的参数. 这通过减少振荡和增强转子位置和速度估计来改善无传感器控制.

关键词:
信息获取优化器信息获取优化器参数识别 参数识别递归最小平方.无传感器控制控制器超扭转的滑动模式观察者超扭转的滑动模式观察者表面安装的永久磁铁同步电机.

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科学领域:

  • 电气工程 电气工程
  • 控制系统 控制系统
  • 电机驱动器 电机驱动器

背景情况:

  • 在无传感器控制的SPMSM中,滑动模式观察者 (SMO) 遭受高频振荡.
  • 由于磁和温度而导致的参数变化会影响电机性能.

研究的目的:

  • 提出一种新的算法,用于精确的实时参数识别在SPMSMs.
  • 为了减轻高频振荡,提高无传感器控制的准确性.

主要方法:

  • 开发了一种信息获取优化递归最小方程 (IAORLS) 算法,具有优化的忘记因子.
  • 使用前向欧勒法来对SPMSM稳压器电压方程进行离散,用于参数识别.
  • 将已识别的参数集成到超级扭转算法滑动模式观察器 (STA-SMO) 中.

主要成果:

  • 该IAORLS算法有效地识别了电机参数.
  • 在STA-SMO中的实时参数更新可以防止由于参数不匹配而导致的性能下降.
  • 在反向电磁场观测中减少了高频振荡,提高了转子位置和转速估计的准确性.

结论:

  • 拟议的IAORLS-STA-SMO方法有效地解决了SPMSM无传感器控制中的振荡和参数变化.
  • 该方法在转子位置和转速估计方面显示出更高的准确性和可靠性.
  • 通过模拟和实验结果验证.