非线性连续动坦克反应堆的温度控制使用了改进的自然灵感优化器和分数顺序控制器
Serdar Ekinci1, Davut Izci2, Aysha Almeree3
1Department of Computer Engineering, Bitlis Eren University, 13100 Bitlis, Turkey.
Biomimetics (Basel, Switzerland)
|February 26, 2026
概括
本研究介绍了一种增强的联合对立人工虫算法 (JOS-ALA),用于调整连续炉 (CSTR) 中的分数顺序PID (FOPID) 控制器. 在非线性CSTR系统中,JOS-ALA显著提高了温度控制精度和稳定性.
科学领域:
- 工艺控制工程 工艺控制工程
- 化学工程是化学工程的重要组成部分.
- 优化算法 优化算法
背景情况:
- 非线性连续水箱反应堆 (CSTR) 的温度控制由于非线性和干扰而具有挑战性.
- 传统的比例积分导数 (PID) 控制器往往缺乏CSTR系统所需的稳定性和精度.
- 对于有效的CSTR温度调节,需要先进的优化技术.
研究的目的:
- 提出一个增强的联合对立人工虫算法 (JOS-ALA),以实现分数顺序PID (FOPID) 控制器的最佳调.
- 要将JOS-ALA调的FOPID控制器应用于非线性CSTR温度控制.
- 评估与其他元启发算法对比拟的JOS-ALA-FOPID方法的性能和稳定性.
主要方法:
- 通过将联合对立选择机制纳入人工虫算法 (ALA) 中,开发JOS-ALA.
- 在控制器设计的稳定操作点周围线性化非线性CSTR模型.
- 通过使用JOS-ALA最小化复合成本函数来调整FOPID控制器参数.
- 与ALA,EEFO,L-SHADE,iAEFA和L-SRTDE进行基准测试,使用广泛的模拟.
主要成果:
- 与JOS-ALA调整的FOPID控制器实现了卓越的性能,具有最低的平均成本函数值 (0.1959).
- 拟议的控制器消除了超越,并实现了4.7290 × 10-4的正常化稳定状态误差.
- 观察到更快的短暂反应,改善对干扰和噪声的强度,以及统计学上显著的改善 (p < 0.05).
结论:
- 在非线性CSTR中,JOS-ALA提供了高精度温度控制的有效和可靠的优化框架.
- 拟议的JOS-ALA-FOPID控制器与现有方法相比,表现出优越的性能和稳定性.
- 在复杂的过程控制问题中,JOS-ALA具有广泛应用的巨大潜力.
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