一个新的2-DOF PIDA控制策略与基于GCRA的参数优化,用于电炉温度控制
Erdal Eker1, Davut Izci2,3, Serdar Ekinci4
1Vocational School of Social Sciences, Muş Alparslan University, Muş, Turkey.
PloS one
|October 14, 2025
概括
这项研究引入了一种新的两度自由度PID加速控制器,使用大鼠算法进行优化,用于精确的电炉温度控制. 新方法显著提高了有时间延迟的系统的能源效率和性能.
科学领域:
- 控制系统工程 控制系统工程
- 工业自动化 工业自动化
- 机械电子学是什么意思 机械电子学
背景情况:
- 由于非线性动力学,热惯性和时间延迟,电炉温度调节面临着挑战.
- 传统的单自由度PID和PIDA控制器在这些复杂的系统中表现出性能限制.
- 需要先进的控制策略来实现准确和节能的温度管理.
研究的目的:
- 为电炉温度控制提出一种新的两度自由度 (2-DOF) PID加速 (PIDA) 控制器.
- 采用更大的鼠算法 (GCRA) 来优化2-DOF PIDA控制器参数.
- 使用适应性目标函数来增强瞬态和稳态性能.
主要方法:
- 开发一个具有独立前路径的2DOF PIDA控制器,用于设置点跟踪和干扰排斥.
- 应用更大的鼠算法 (GCRA) 来调节控制器参数.
- 使用模拟进行评估,并与元启发算法 (PFA,HOA,L-SHADE,PSO) 和基准方法进行比较.
主要成果:
- 基于GCRA的2DOF PIDA控制器实现了卓越的性能,在名义条件下超速1.8382%和3.4542s的沉降时间.
- 证明了对负载干扰和测量噪声的稳定性,保持<2.5%的超标和<4秒的沉降时间.
- 在关键绩效指标上表现优于现有的最先进的元启发式调整方法.
结论:
- 拟议的基于GCRA的2-DOF PIDA控制器为电炉温度调节提供了高精度和节能的解决方案.
- 2-DOF结构有效地解决了非线性动态和时间延迟所带来的挑战.
- 这种方法代表了工业温度控制系统的重大进步,需要高精度和效率.
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