一个新的智能控制策略,用于CSTH温度调节,基于海星优化算法
Davut Izci1,2,3, Serdar Ekinci4, Mostafa Jabari5
1Department of Electrical and Electronics Engineering, Bursa Uludag University, Bursa, 16059, Turkey.
Scientific reports
|April 10, 2025
概括
本研究引入了一个新的控制策略,用于在具有挑战性的非线性系统中调节温度. 海星优化算法 (SFOA) 优化了两度自由度-PID加速 (2DOF-PIDA) 控制器,以提高性能.
科学领域:
- 过程控制 过程控制
- 人工智能的人工智能
- 化学工程是化学工程的重要组成部分.
背景情况:
- 在非线性和动态过程中的温度调节,如连续动加热器 (CSTH) 提出了重大挑战.
- 系统的非线性和外部干扰使得实现精确的温度控制变得复杂.
研究的目的:
- 为CSTH过程提出一种新的基于元启发的控制策略.
- 通过将2DOF-PIDA控制器与SFOA相结合来提高温度控制性能.
主要方法:
- 使用两度自由度-PID加速 (2DOF-PIDA) 控制器进行脱的设定点跟踪和干扰拒绝.
- 采用海星优化算法 (SFOA) 来实现2DOF-PIDA控制器参数的最佳调整.
- 通过对CSTH过程的模拟来验证拟议的控制策略.
主要成果:
- 由SFOA优化的拟议的2DOF-PIDA控制器表现出卓越的跟踪准确性.
- 与传统的控制方法相比,该战略显示了更强大的干扰排斥能力.
- 在CSTH工艺的温度调节中观察到更好的稳定性.
结论:
- 2DOF-PIDA和SFOA的组合为控制高度非线性系统提供了灵活和高效的解决方案.
- 这种方法对工业温度调节应用有重大影响.
- 这种以元启发驱动的策略有效地解决了CSTH温度控制的复杂性.
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