关于在线优化方案的研究和基于蜂大算法PMSM控制参数的部署
Xiaofeng Zhu1, Yiming Hu2, Yinquan Yu1
1School of Mechatronics and Vehicle Engineering, East China Jiaotong University, Nanchang, 330000, China.
Scientific reports
|November 4, 2024
概括
本研究介绍了永久磁铁同步电机 (PMSM) 驱动控制参数的实时优化方案. 蜜算法在实际应用中显著提高了PMSM性能和稳定性.
科学领域:
- 电气工程 电气工程
- 控制系统 控制系统
- 优化算法 优化算法
背景情况:
- 永磁同步电机 (PMSM) 驱动系统提供高效率和控制质量.
- 优化PMSM控制参数对于高性能运行至关重要.
- 在现实世界驱动器中部署基于模拟的优化方案存在挑战.
研究的目的:
- 为PMSM驱动器提出一个实时,在线部署的控制参数优化方案.
- 开发一个框架,将优化算法集成到实际的驱动系统中.
- 为了减轻性能问题,如超速和振动使用故障抑制机制.
主要方法:
- 一个新的实时在线优化方案,用于PMSM控制参数.
- 系统步骤响应性能评估以获得优化效果.
- 在驱动器内部署优化算法的框架的开发.
- 实施故障抑制机制,以超越和减轻振动.
- 在快速原型控制平台上使用蜂蜜子算法进行验证.
主要成果:
- 拟议方案在各种操作条件下表现出良好的优化性能.
- 与其他算法相比,蜜算法表现出更快的融合和更稳定的优化.
- 优化效果提高了2.2%,在多个优化结果之间一致性增加了40%.
- 实验验证证了实时优化和故障抑制的有效性.
结论:
- 开发的实时在线优化方案有效地提高了PMSM驱动器的性能.
- 蜜算法是实时PMSM参数优化的合适选择,因为它的速度和稳定性.
- 集成的故障抑制机制成功地解决了超速和振动问题,提高了系统可靠性.
关键词:
控制故障抑制抑制 控制故障抑制控制参数优化控制参数优化蜂蜜的算法 蜂蜜的算法超启发式算法 (Metaheuristic Algorithms) 是一种算法,可以通过在线优化优化在线优化PMSMM PMSMM 是一个很好的方法.更多相关视频
11:53Spatial Multiobjective Optimization of Agricultural Conservation Practices using a SWAT Model and an Evolutionary Algorithm
Published on: December 9, 2012
12.9K
11:53The Modular Design and Production of an Intelligent Robot Based on a Closed-Loop Control Strategy
Published on: October 14, 2017
11.6K
相关概念视频
01:07Time-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
01:29Mechanistic Models: Compartment Models in Algorithms for Numerical Problem Solving
42
Mechanistic models play a crucial role in algorithms for numerical problem-solving, particularly in nonlinear mixed effects modeling (NMEM). These models aim to minimize specific objective functions by evaluating various parameter estimates, leading to the development of systematic algorithms. In some cases, linearization techniques approximate the model using linear equations.
In individual population analyses, different algorithms are employed, such as Cauchy's method, which uses a...
In individual population analyses, different algorithms are employed, such as Cauchy's method, which uses a...
42
01:16Response Surface Methodology
92
Response Surface Methodology (RSM) is a collection of statistical and mathematical techniques used to develop, improve, and optimize processes. It is particularly valuable when many input variables or factors potentially influence a response variable.
The process of RSM involves several key steps:
The process of RSM involves several key steps:
92
01:26PD Controller: Design
193
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,...
193
01:25Multimachine Stability
141
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:
141
01:24PI Controller: Design
211
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...
211