一种基于Sage-Husa预测算法的方法,用于纠正DC无刷电机中的霍尔传感器位置
Lu Wang1, Yong Cheng1, Wei Yin1
1College of Energy and Power Engineering, Shandong University, Jinan 250061, China.
Sensors (Basel, Switzerland)
|July 29, 2023
概括
本研究介绍了一种预校准方法和自适应算法,以精确确定无刷直流电机 (BLDCM) 转子位置. 这通过减少转速波动,振动和电流消耗来显著提高电机性能.
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:
- 精确的转子位置对于无刷直流电机 (BLDCM) 控制至关重要.
- 偏差会导致性能问题,如电流/扭矩波动,噪音和效率降低.
- 大厅传感器是常用的,但容易受到安装偏移和信号延迟的影响.
研究的目的:
- 开发一种预校准方法,以消除霍尔传感器安装偏移和信号调节延迟.
- 提出一种自我适应的位置信息预测算法,以改进旋转器位置的准确性.
- 为了提高BLDCMs的整体控制性能和效率.
主要方法:
- 使用最小偏差原则估计霍尔传感器安装偏差.
- 实施预校准方法,解决磁极偏移,信号调节延迟和具响应.
- 应用Sage-Husa自适应算法来过剩余转子位置偏差.
- 在循环电机上的实验验证.
主要成果:
- 速度波动的平均平方误差 (MSE) 减少了92.0%.
- 平均相位电流下降了62.8%,引擎振动显著减少.
- 与传统的KF相比,Sage-Husa算法提高了速度稳定性,减少了56.0%的超速,并提高了14.7%的切换定时精度.
- 整体系统效率大大提高.
结论:
- 拟议的预校准和自适应预测方法有效消除了BLDCM中的旋转器位置错误.
- 这些技术可以大大提高发动机性能,效率和稳定性.
- 萨奇-胡萨方法证明了对BLDCM控制的优越干扰排斥和通换预测能力.
相关概念视频
The Hall Effect
2.5K
Edwin H. Hall, in the year 1879, devised an experiment that could be used to identify the polarity of the predominant charge carriers in a conducting material. From a historical perspective, this experiment was the first to demonstrate that the charge carriers in most metals are negative.
2.5K
Electro-mechanical Systems
1.0K
Electromechanical systems are intricate configurations that effectively combine electrical and mechanical elements to achieve a desired outcome. Central to many of these systems is the DC motor, a device that converts electrical energy into mechanical motion, enabling various applications ranging from simple fans to complex robotic mechanisms.
A key component of the DC motor is the armature, a rotating circuit positioned within a magnetic field. As an electric current passes through the...
A key component of the DC motor is the armature, a rotating circuit positioned within a magnetic field. As an electric current passes through the...
1.0K
Time-Domain Interpretation of PD Control
141
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...
141
PD Controller: Design
282
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,...
282
Torque On A Current Loop In A Magnetic Field
4.2K
The most common application of magnetic force on current-carrying wires is in electric motors. These consist of loops of wire, which are placed between the magnets with a magnetic field. When current flows through the loops, the magnetic field applies torque, which causes the shaft to rotate, thus converting electrical energy to mechanical energy.
Consider a rectangular current-carrying loop containing N turns of wire, placed in a uniform magnetic field. The net force on a current-carrying loop...
Consider a rectangular current-carrying loop containing N turns of wire, placed in a uniform magnetic field. The net force on a current-carrying loop...
4.2K
PI Controller: Design
331
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...
331


