基于APSO-MPC的米面挤出机的温度控制方法的研究
Mengyao Zhang1, Yunren Yang1, Guohua Gao2
1Chinese Academy of Agricultural Mechanization Sciences Group Co., Ltd., Beijing 100083, China.
Sensors (Basel, Switzerland)
|June 27, 2025
概括
本研究介绍了一种自适应粒子群优化 (APSO) 模型预测控制 (MPC) 方法,用于精确调节米面挤出机的温度,克服控制干扰和歇斯底里,以提高产品质量.
科学领域:
- 食品工程 食品工程
- 控制系统工程 控制系统工程
- 热力学是一种热力学.
背景情况:
- 现有的米面挤出机遭受温度控制干扰和歇斯底里.
- 精确的温度控制对于稳定的米面质量至关重要.
研究的目的:
- 为米面挤出机设计了一种先进的温度控制方法.
- 解决现有控制系统的局限性,特别是干扰和歇斯底里.
主要方法:
- 开发了一个基于挤出机桶的热力学分析的温度预测模型.
- 用于模型参数识别的适应性粒子群集优化 (APSO).
- 使用APSO实现模型预测控制 (MPC),以实现最佳温度调节.
- 集成料率料前期控制以减轻波动.
主要成果:
- 实现了7.75%的最大温度超标.
- 保持稳定状态误差在±1°C以内.
- 与模糊的PID控制相比,证明了更高的适应性和控制精度.
结论:
- 拟议的APSO-MPC方法显著提高了米面挤出机的温度控制精度.
- 这种先进的控制策略有效地减少了干扰和歇斯底里,从而提高了产品的一致性.
- 该方法为优化挤出过程提供了一个强大的解决方案.
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