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首页> 外文会议>ICEEE 2010;International conference on electrical and electronics engineering >Research on the Optimal Control of Tube Billet Temperature for Rotary Reheating Furnace
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Research on the Optimal Control of Tube Billet Temperature for Rotary Reheating Furnace

机译：旋转加热炉管坯温度最优控制的研究

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摘要

At present, furnace temperature settings are achieved by the operators in the rotary reheating furnace, and control accuracy is no good. The temperature prediction model of a tube billet surface at the exit based on RBF neural network and the modified particle swarm optimization are put forward to search the optimal steady-state temperatures in this paper. The simulation results indicate that it meets heating process indicators and improve the heating quality and precision of the tube billet. The modified particle swarm optimization solves the local optima problem resulting from population degradation, and improves the search precision.
机译：当前，操作人员在旋转式加热炉中实现炉温设置，并且控制精度不好。提出了一种基于RBF神经网络的出口管坯表面温度预测模型和改进的粒子群算法，以求出最优的稳态温度。仿真结果表明，它满足加热工艺指标，提高了管坯的加热质量和精度。改进的粒子群算法解决了种群退化导致的局部最优问题，提高了搜索精度。

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