基于空间向量脉冲宽度调制驱动器的特性分析和错误补偿方法,用于永久磁铁同步电机的驱动器
Qihang Chen1, Wanzhen Wu2, Qianen He1
1School of Physics and Information Engineering, Fuzhou University, Fuzhou 350108, China.
Sensors (Basel, Switzerland)
|January 8, 2025
概括
本研究引入了一种实时补偿方法,以解决永磁同步电机 (PMSM) 的驾驶错误. 该技术通过减轻非理想的驾驶员特征,显著提高了电机控制精度和性能.
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:
- 永磁同步电机 (PMSM) 由于其精度和效率,在航空,航天,海洋和工业领域至关重要.
- 不理想的驾驶员特性引入错误,降低PMSM控制精度,动态性能和稳定性.
研究的目的:
- 在PMSM中分析非理想驾驶员特征的根本原因.
- 开发和验证实时补偿方法,以提高PMSM控制的准确性.
主要方法:
- 使用空间向量脉冲宽度调制 (SVPWM) 原理分析非理想的驱动特性.
- 基于导出输出电压模型的实时电压补偿方法的开发.
- 使用测试数据进行参数估计,通过模拟和实验进行验证.
主要成果:
- 拟议的补偿方法显著减少了电压误差88.07%和转速误差53.08% (RMS).
- 证明了对PMSM性能产生非理想驾驶员影响的有效缓解.
- 提高了驾驶和速度控制的准确性.
结论:
- 开发的实时补偿方法是实用的,具有成本效益,并大大提高了PMSM控制性能.
- 解决非理想的驱动程序对于优化PMSM应用程序至关重要.
- 该方法提供了一个强大的解决方案,以提高系统的精度和效率.
更多相关视频
07:28A Method for Evaluating Timeliness and Accuracy of Volitional Motor Responses to Vibrotactile Stimuli
Published on: August 2, 2016
7.2K
09:01Gain-compensation Methodology for a Sinusoidal Scan of a Galvanometer Mirror in Proportional-Integral-Differential Control Using Pre-emphasis Techniques
Published on: April 4, 2017
8.6K
相关概念视频
Time-Domain Interpretation of PD Control
83
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...
83
Simplified Synchronous Machine Model
177
The Synchronous Machine Model is a fundamental tool in analyzing and ensuring the transient stability of power systems. This model simplifies the representation of a synchronous machine under balanced three-phase positive-sequence conditions, assuming constant excitation and ignoring losses and saturation. The model is pivotal for understanding the behavior of synchronous generators connected to a power grid, particularly during transient events.
In this model, each generator is connected to a...
In this model, each generator is connected to a...
177
Electro-mechanical Systems
915
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...
915
PI Controller: Design
199
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...
199
Frequency-Domain Interpretation of PD Control
92
Proportional-Derivative (PD) controllers are widely used in fan control systems to improve stability and performance. A fan control system can be effectively represented using a Bode plot to illustrate the impact of a PD controller through its transfer function. The Bode plot visually conveys how PD control modifies the fan's response across various frequencies, providing a frequency domain interpretation of the controller's behavior.
The proportional control gain, combined with the...
The proportional control gain, combined with the...
92
Multimachine Stability
140
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:
In analyzing the system, the nodal equations represent the relationship between bus voltages, machine voltages, and machine currents. The nodal equation is given by:
140
