在虚拟环境中对逆流板换热器的模型预测控制 (MPC)
Jairo Siza1, Jacqueline Llanos1,2, Paola Velasco1
1Department of Electrical, Electronic and Telecomunications, Universidad de las Fuerzas Armadas ESPE, Av. Gral. Rumiñahui s/n, Sangolquí 171103, Ecuador.
Sensors (Basel, Switzerland)
|July 27, 2024
概括
本研究比较了板式换热器的两个先进的控制策略. 模型预测控制 (MPC) 展示了卓越的性能,在虚拟环境中实现更快的响应和最小的稳定状态错误.
科学领域:
- 化学工程是化学工程的重要组成部分.
- 控制系统工程 控制系统工程
- 虚拟环境模拟虚拟环境模拟
背景情况:
- 板式换热器在工业过程中至关重要.
- 控制它们的多变量,非线性动态带来了重大挑战.
- 虚拟环境为开发和测试控制策略提供了一个安全的平台.
研究的目的:
- 提出并比较基于模型的先进控制策略,用于逆流流板换热器.
- 在模拟环境中,用视觉和听觉反来评估控制器的性能.
- 确定最有效的控制策略,以优化热交换机运行.
主要方法:
- 为板式热交换机动力学的数学模型的开发.
- 使用线性代数和数值方法实现反向模型控制器.
- 实施模型预测控制 (MPC) 策略,包括预测工厂模型.
- 在虚拟环境中测试控制器对设定点变化和干扰的测试.
主要成果:
- 两个控制器都测试了设定点变化和干扰,但没有超越.
- 与反向模型控制器相比,模型预测控制 (MPC) 策略的结算时间较短.
- 该MPC控制器实现了较低的稳定状态错误,表明更精确的温度调节.
结论:
- 模型预测控制 (MPC) 是一种高效的策略,用于管理板式换热器的复杂动态.
- 开发的虚拟环境为控制系统设计和验证提供了一个可行的平台.
- 先进的控制策略可以显著提高热交换机操作的效率和稳定性.
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