一个先进的双感应电机的直接扭矩控制,使用进化计算技术进化计算技术
Said Mahfoud1, Najib El Ouanjli2, Aziz Derouich3
1Polydisciplinary Laboratory of Sciences, Technologies, and Societies, Higher School of Technology, Sultan Moulay Slimane University, 54000, Khenifra, Morocco. said.mahfoud@usmba.ac.ma.
这项研究优化了使用遗传算法 (GA) 和殖民地优化 (ACO) 与直接扭矩控制 (DTC) 的双感应电机 (DFIM) 控制. ACO-DTC显著减少扭矩波动,提高稳定性和机器寿命.
科学领域:
- 电气工程 电气工程
- 控制系统 控制系统
- 可再生能源系统可再生能源系统
背景情况:
- 与子机器相比,双输入感应机 (DFIM) 在变速应用中提供了更高的效率.
- 由于复杂的动态,DFIM需要先进的控制策略,如直接扭矩控制 (DTC).
- 带有PID控制器的标准DTC可以导致扭矩波动和超速.
研究的目的:
- 开发和评估DFIM速度控制的优化DTC策略.
- 为了解决传统的基于PID的DTC的性能限制.
- 为了提高DFIM的稳定性,并减少扭矩在干扰下.
主要方法:
- 集成PID控制器与DTC用于DFIM速度控制.
- 基因算法 (GA) 和群优化 (ACO) 的应用用于PID参数调整.
- 对GA-DTC和ACO-DTC方法的基于模拟的性能分析.
主要成果:
- 无论是GA-DTC还是ACO-DTC混合控制都显示出显著的性能改进.
- 与基线方法相比,ACO-DTC实现了对扭矩波动的27.86%的减少.
- 优化的控制策略提高了系统稳定性,并可能延长机器的使用寿命.
结论:
- 混合GA-DTC和ACO-DTC为DFIM速度控制提供了有效的解决方案.
- 在减少扭矩波动和提高稳定性方面,ACO-DTC提供了卓越的性能.
- 这些优化的控制方法显示了工业DFIM应用的巨大潜力.
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