Control Model of Mechatronics Technology Based on Hybrid Particle Swarm Optimization
People's demand for mechatronics technology control model is increasing gradually. It is necessary to improve the control model of mechatronics technology by studying, and hybrid particle swarm optimization is an effective analysis method. Aiming at the hybrid particle swarm optimization algorithm of electromechanical integration technology control model, the overall scheme demonstration and training demonstration test of portable electromechanical integration system are carried out to find a more suitable solution. In this paper, the control model of mechatronics technology and its development trend are briefly discussed, the existing models are studied, and the control model of mechatronics technology based on hybrid particle swarm optimization is verified through a series of experiments. At the same time, computer simulation and practical verification experiments are carried out. The final research results show that the accuracy of the control model of mechatronics technology can reach 98.1% when the number of operations is 77. The experimental data show that the accuracy of the control model of mechatronics technology has been kept at a relatively stable level, and the fluctuation range is between 98% and 99%. This shows that the accuracy of the control model of mechatronics technology does not fluctuate obviously with the change of operation times.
Authors
- Wei Shi (ORCID: https://orcid.org/0000-0002-3031-732X)
Institutions
- NARI Group (China) (CN)
Publication Details
- Published
- 2024-10-18
- DOI
- https://doi.org/10.1109/icdacai65086.2024.00054
- Primary Topic
- Industrial Technology and Control Systems
- Type
- article
- Field-Weighted Citation Impact
- 0.00