优化了使用 sinh-cosh优化器在发电厂中的蒸汽冷凝器系统的 FOPID 控制器
Serdar Ekinci1, Davut Izci2,3, Veysel Gider4
1Department of Computer Engineering, Batman University, Batman, 72100, Turkey.
Scientific reports
|February 26, 2025
概括
一个新的 sinh-cosh优化器 (SCHO) 调整了发电厂蒸汽冷凝器的分数顺序比例积分导数 (FOPID) 控制器. 这种优化的控制器显著提高了系统的稳定性和效率,超过了其他算法.
科学领域:
- 工程 工程师 工程师 工程师
- 控制系统 控制系统
- 热力学是一种热力学.
背景情况:
- 蒸汽冷凝器是发电厂的重要组成部分,对于优化热力学循环效率至关重要.
- 蒸汽冷凝器内的有效压力调节对于稳定的发电至关重要.
- 现有的控制方法在动态运行条件下实现最佳性能可能面临挑战.
研究的目的:
- 开发和评估蒸汽冷凝器压力调节的新型控制策略.
- 通过先进的控制,提高发电周期的效率和稳定性.
- 将拟议的优化算法的性能与已建立的方法进行比较.
主要方法:
- 实现压力调节的分数级比例积分导数 (FOPID) 控制器.
- 使用 sinh-cosh优化器 (SCHO) 调整 FOPID 控制器参数.
- 对引力搜索算法,鱼优化算法,曼塔射线食优化和Aquila优化器进行比较分析.
主要成果:
- 与SCHO调节的FOPID控制器在最小化时间加权绝对误差 (ITAE) 积分,超速和结算时间方面表现出卓越的性能.
- 实现了14.80的最小ITAE,6.06%的超标,和17.66s的结算时间,表明系统响应得到了增强.
- 非线性分析证实了该方法在各种参数上的有效性,包括温度,流速,蒸汽热量和冷凝器压力.
结论:
- 基于SCHO的FOPID控制器为蒸汽冷凝器压力控制提供了强大而高效的解决方案.
- 这种先进的控制策略显著提高了系统性能,稳定性和发电效率.
- 拟议的方法为管理复杂的发电厂运营提供了可靠和一致的方法.
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