通过与CARIMA模型集成的通用预测控制器,改进了水泥球磨坊的研磨过程
Venkatesh Sivanandam1, Ramkumar Kannan2, Valarmathi Ramasamy3
1School of Electrical & Electronics Engineering, SASTRA Deemed University, Thanjavur, 613 401, India. esvee@eie.sastra.edu.
Scientific reports
|December 29, 2024
概括
通用预测控制器 (GPC) 降低了水泥球厂的能源消耗. 这种先进的控制策略提高了生产率和产品质量,在水泥制造中的错误指标方面表现优于传统方法.
科学领域:
- 工业过程控制 工业过程控制
- 化学工程是化学工程的重要组成部分.
- 能源管理 能源管理
背景情况:
- 水泥球磨坊是水泥生产中主要的能源消耗者.
- 优化控制对于能源效率,生产力和产品质量至关重要.
- 现有的控制器可能无法满足降低能耗和提高性能的需求.
研究的目的:
- 设计和实施一般预测控制器 (GPC) 用于水泥球磨粉.
- 在伺服器和调节响应方面分析GPC的性能.
- 使用错误指标,将GPC性能与传统控制器进行比较.
主要方法:
- 使用工业模拟器从步骤响应数据开发了一个过程模型.
- 基于衍生模型设计的通用预测控制器 (GPC).
- 在闭环系统中实施GPC,评估带有和没有约束的性能.
主要成果:
- 设计的GPC证明了水泥球厂的有效伺服和调节控制.
- 性能分析表明,与传统控制器相比,GPC取得了更好的结果.
- 错误指标表明,GPC的控制精度和效率显著提高.
结论:
- 通用预测控制 (GPC) 是优化水泥球厂运营的高效策略.
- 在降低能源消耗和提高产品质量方面,GPC提供了显著的优势.
- 这项研究证实了GPC在水泥研磨过程中的优势,而不是传统的控制器.
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