一种基于TCN的锡冶炼炉膛含氧量延时补偿控制方法
By using a time-delay compensation control method based on TCN, the instability problem of oxygen content control in top-blown furnaces was solved, enabling efficient modeling and real-time control of complex dynamic systems, thereby improving the stability of the production process and product quality.
Patent Information
- Authority / Receiving Office
- CN · China
- Patent Type
- Patents(China)
- Current Assignee / Owner
- YUNNAN UNIV
- Filing Date
- 2025-03-26
- Publication Date
- 2026-07-17
AI Technical Summary
Existing technologies struggle to effectively control the oxygen content in top-blown furnaces, leading to instability in the production process and fluctuations in product quality. This is mainly due to the difficulty in accurately describing the nonlinear, large time delay, and time-varying characteristics of the system.
A delay compensation control method based on Temporal Convolutional Network (TCN) is adopted. Through data cleaning and STL decomposition, a dynamic prediction model is constructed. Combined with TCN and Smith predictor, a delay compensation control framework is built to achieve precise control of oxygen content.
It improves the accuracy and stability of oxygen content control, reduces fluctuations in the production process, and features intelligent parameter adjustment and real-time adaptability, making it suitable for time-varying delay industrial process control.
Smart Images
Figure CN120215248B_ABST