We found a match
Your institution may have access to this item. Find your institution then sign in to continue.
- Title
Control of the Molten Steel Level in the Top Side‐Pouring Twin‐Roll Casting Process Based on Fuzzy Rules Optimized by Particle Swarm Optimization Algorithm.
- Authors
Zhou, You; Mao, Yi; Xuan, Dongpo; Jiang, Tianliang; Fan, Wenhao; Zhu, Biji; Zhou, Cheng
- Abstract
Twin‐roll strip casting is a near‐net‐shape casting technology that can produce thin steel strips directly from molten steel. Stably controlling the molten steel level is regarded as an important issue to ensure strip quality and casting process stability. As the control of the molten steel level is a time‐varying, nonlinear, and multidisturbance complex system, it is difficult to establish an accurate process model for designing a model‐based controller. Top side‐pouring twin‐roll casting is a new kind of twin‐roll strip casting technology. This study introduces the control system of the top side‐pouring twin‐roll casting process. A fuzzy logic controller (FLC) with its fuzzy rules optimized by particle swarm optimization (PSO) is developed to regulate the molten steel level. Simulation results show that the performance of the FLC can be improved while its fuzzy rules are optimized by PSO. The objective function of PSO has a great influence on the optimization of the fuzzy rules. The top side‐pouring twin‐roll casting experiments are carried out using the FLC with its fuzzy rules optimized by PSO; the results show that strip quality and casting process stability are guaranteed.
- Subjects
PARTICLE swarm optimization; STEEL strip; STEEL; NONLINEAR control theory; LINEAR matrix inequalities
- Publication
Steel Research International, 2023, Vol 94, Issue 10, p1
- ISSN
1611-3683
- Publication type
Article
- DOI
10.1002/srin.202200953