使用改进的CMOCSO算法对多PID控制器进行最佳调
Ying Hu1, Xiongyan Liu1, Hao Chen1
1School of Computer Science and Technology, Taiyuan University of Science and Technology, Taiyuan, Wanbailin District, China.
PeerJ. Computer science
|December 9, 2024
概括
这项研究引入了一个改进的群集优化器来调整多PID控制器,显著减少同步错误,并提高干扰阻力,以提高系统性能.
科学领域:
- 控制系统工程 控制系统工程
- 优化算法 优化算法
- 计算智能是一种计算智能.
背景情况:
- 多PID控制器系统经常遭受同步错误和干扰.
- 优化控制器参数对于强大的性能和稳定性至关重要.
研究的目的:
- 通过最大限度地减少同步错误来提高多PID控制器的性能.
- 为了提高多PID控制系统的干扰阻力.
- 应用高级优化算法进行参数调整.
主要方法:
- 为多PID控制器的受约束多目标优化问题制定了一个数学模型.
- 开发了一个改进的竞争和合作群体优化器 (CMOCSO),具有中心点移动策略和新型分组策略.
- 在16个标准基准函数上验证了CMOCSO算法.
主要成果:
- 改进的CMOCSO算法证明了在解决受限制的多目标问题的有效性.
- 使用拟议的方法优化多PID控制器参数导致了优越的控制性能.
- 观察到同步错误的显著减少和干扰阻抗的增强.
结论:
- 拟议的基于CMOCSO的参数优化对于多PID控制器是有效的.
- 该方法为提高控制系统的稳定性和准确性提供了可行的解决方案.
- 这种方法提高了复杂控制系统的同步性和干扰弹性.
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