工业基于metaverse的智能PID最佳调系统,用于复杂的工业过程
IEEE transactions on cybernetics
|May 31, 2024
概括
本研究引入了一种新的方法,用于动态性能监测和适应性自调比例整数导数 (PID) 控制系统在工业过程中使用虚拟现实. 这种方法可以实现实时优化,增强工业元宇宙应用.
科学领域:
- 控制系统工程 控制系统工程
- 工业物联网的工业物联网.
- 虚拟现实应用 虚拟现实应用
背景情况:
- 比例积分导数 (PID) 控制器在工业过程中被广泛使用.
- 在复杂的工业环境中实时优化PID控制参数仍然是一个挑战.
- 整合虚拟现实 (VR) 和数字双胞胎为流程监控和控制提供了新的可能性.
研究的目的:
- 提出一种用于在虚拟现实场景中的工业过程中动态性能监测和PID控制系统自适应自调的方法.
- 开发一个智能PID调系统,利用工业元宇宙和终端-云协作.
- 解决复杂工业过程中PID控制系统在线优化的局限性.
主要方法:
- 将PID控制过程的数字双胞胎模型 (基于系统识别和自适应深度学习) 与基于强化学习的智能PID调整算法相结合.
- 在工业元宇宙框架内利用虚拟现实和沉浸式交互.
- 从工业互联网实现终端云协作技术.
主要成果:
- 与先进的控制技术相比,模拟实验证明了拟议的控制方法的有效性.
- 工业实验证实了动态性能监控和VR场景中的自适应自调的可行性.
- 拟议的系统为能源密集型设备 (化炉) 实现了出色的控制效果.
结论:
- 开发的方法成功地使PID控制系统在工业VR环境中的动态性能监测和自适应自调能够实现.
- 数字双胞胎,深度学习,强化学习和工业元宇宙的整合为在线PID优化提供了有效的解决方案.
- 该系统提供了一种有前途的方法,用于提高复杂工业过程中的控制性能.
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