RBF神经网络在加速冷却控制系统中的应用
Application of RBF Neural Networks in Control System of the Slab Accelerating Cooling Process
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摘要: 针对中厚钢板加速冷却过程,钢板入口温度波动大,钢板终冷温度难以实现闭环控 制等特点,首先将RBP(Radial Basis Functions)神经网络与优化设定技术相结合应用到加速 冷却系统中,提出了加速冷却控制系统中基于RBF神经网络的每幕流量的控冷模型.仿真实 验表明:该控冷模型能够实现对钢板加速冷却过程的有效控制.Abstract: In the slab accelerating cooling process, the range of the slab's inlet temperature variance is large, and closed-loop control of the slab finishing cooling temperature is difficult. In this paper, RBF neural networks are employed in the slab accelerating control systems, and an RBF neural network-based cooling control model for each curtain's rate is proposed. Simulation results and industrial experiments show that effective control of the slab accelerating cooling process is realized using this control model.
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Key words:
- RBF neural networks /
- accelerating cooling /
- cooling control model
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