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Research on online optimization scheme and deployment of PMSM control parameters based on honey badger algorithm
Xiaofeng Zhu1, Yiming Hu2, Yinquan Yu1
1School of Mechatronics and Vehicle Engineering, East China Jiaotong University, Nanchang, 330000, China.
Scientific Reports
|November 4, 2024
Summary
This study introduces a real-time optimization scheme for permanent magnet synchronous motor (PMSM) drive control parameters. The honey badger algorithm significantly enhances PMSM performance and stability in practical applications.
Area of Science:
- Electrical Engineering
- Control Systems
- Optimization Algorithms
Background:
- Permanent magnet synchronous motor (PMSM) drive systems offer high efficiency and control quality.
- Optimizing PMSM control parameters is crucial for high-performance operation.
- Deploying simulation-based optimization schemes in real-world drives presents challenges.
Purpose of the Study:
- To propose a real-time, online deployable control parameter optimization scheme for PMSM drives.
- To develop a framework for integrating optimization algorithms into practical drive systems.
- To mitigate performance issues like overshoot and vibration using a fault suppression mechanism.
Main Methods:
- A novel real-time online optimization scheme for PMSM control parameters.
- System step response performance evaluation for optimization effect.
- Development of a framework for deploying optimization algorithms within the drive.
- Implementation of a fault suppression mechanism for overshoot and vibration mitigation.
- Validation on a rapid prototyping control platform using the honey badger algorithm.
Main Results:
- The proposed scheme demonstrated good optimization performance across various operating conditions.
- The honey badger algorithm exhibited faster convergence and more stable optimization compared to other algorithms.
- Optimization effect improved by 2.2%, with a 40% increase in consistency across multiple optimization results.
- Experimental validation confirmed the effectiveness of the real-time optimization and fault suppression.
Conclusions:
- The developed real-time online optimization scheme effectively enhances PMSM drive performance.
- The honey badger algorithm is a suitable choice for real-time PMSM parameter optimization due to its speed and stability.
- The integrated fault suppression mechanism successfully addresses overshoot and vibration issues, improving system reliability.
Keywords:
Control failure suppressionControl parameter optimizationHoney badger algorithmMetaheuristic algorithmsOnline optimizationPMSMMore Related Videos
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