拒绝干扰的PID-FF控制器设计的非理想的buck转换器使用创新的蛇优化器与模式搜索算法
Cihan Ersali1, Baran Hekimoglu1, Musa Yilmaz1,2
1Department of Electrical and Electronics Engineering, Batman University, Batman, 72100, Turkey.
Heliyon
|July 31, 2024
概括
本研究介绍了基于对立的蛇优化器与模式搜索 (OSOPS) 用于设计比例-积分-导数 (PID-FF) 控制器在buck转换器中. OSOPS提高了干扰排斥和稳定性,超过了现有的方法.
科学领域:
- 电气工程 电气工程
- 控制系统 控制系统
- 超启发式优化优化
背景情况:
- 为非理想的转换器设计带有过器的比例积分导数控制器 (PID-FF) 在干扰排斥,参数变化稳定性和噪声减轻方面提出了挑战.
- 现有的控制策略往往导致在实际应用中表现不佳.
研究的目的:
- 开发一个先进的元启发算法,以对立为基础的蛇优化器与模式搜索 (OSOPS),以在非理想的buck转换器中实现最佳PID-FF控制器设计.
- 为了提高颠倒转换器控制系统的干扰排斥,稳定性和高频噪声减轻.
主要方法:
- 引入了基于对立的蛇优化器与模式搜索 (OSOPS) 算法,将基于对立的学习 (OBL) 和模式搜索 (PS) 与蛇优化器 (SO) 集成在一起.
- 在OSOPS算法中实施交叉频率约束,以管理高频噪声并确保稳健的性能.
- 通过使用统计分析,短暂/频率响应和稳定性测试,对基于OSOPS的PID-FF控制器与原来的SO和经典杆位 (PP) 方法进行了评估.
主要成果:
- 基于OSOPS的系统表现出明显更快的上升时间 (14.21% vs. SO,32.10%与PP相比) 和结算时间 (15.38%与PP相比). 因此,84.95%与PP相比).
- 与PP方法相比,OSOPS和SO控制器实现了更高的带宽 (分别高出18.74%和17.03%).
- OSOPS有效地减轻了高频噪声,并改善了干扰排斥和稳定性.
结论:
- 该OSOPS算法提供了一个优越的方法来设计PID-FF控制器非理想的转换器,解决关键的性能限制.
- 拟议的控制策略显著提高了系统性能,提供更快的响应和更好的稳定性,有望带来实际应用的好处.
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