混合金和金色正弦优化器用于调整PID控制器
Kailong Mou1, Ming Yang1, Mengjian Zhang2
1School of Electrical Engineering, Guizhou University, Guiyang, 550025, China.
Scientific reports
|September 27, 2024
概括
本研究介绍了一种混合算法 (HGJGSO),用于调整比例积分导数 (PID) 控制器,提高控制工程的性能. 这种新方法增强了PID控制器调整,以提高系统稳定性和轨迹跟踪.
科学领域:
- 控制工程 控制工程 控制工程
- 优化算法 优化算法
- 机器人技术 机器人技术 机器人技术
背景情况:
- 调整比例-积分-导数 (PID) 控制器是控制工程中的一个重大挑战.
- 现有的优化方法往往在复杂的控制系统中难以实现融合速度和精度.
研究的目的:
- 提出一种新的混合优化算法 (HGJGSO),用于增强PID控制器调整.
- 为了提高PID控制器参数优化的效率和有效性.
- 为了验证算法的性能在典型的系统和一个实际的四旋翼无人机应用程序.
主要方法:
- 开发了一个混合算法 (HGJGSO),结合了金子优化 (GJO) 和金正弦算法 (Gold-SA).
- 纳入了一个非线性参数适应策略,以加快GJO的融合.
- 通过调整PID控制器对三个基准系统和四旋翼无人机轨迹跟踪来评估HGJGSO.
主要成果:
- 与现有的PID控制器调方法相比,HGJGSO算法表现出更高的性能.
- 混合方法有效地平衡了勘探和开采,以实现全面优化.
- HGJGSO在四旋翼无人机的轨迹跟踪方面显示出了显著的优势,突出了实际应用.
结论:
- 拟议的HGJGSO算法为PID控制器调整提供了一个强大的和有效的解决方案.
- HGJGSO克服了个别优化算法的局限性,提供了增强的性能.
- 该方法非常适合解决实际的控制挑战,包括无人机轨迹跟踪.
相关概念视频
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