节点文献
过热蒸汽温度单神经元模糊自适应控制策略仿真研究
The simulation of neuron fuzzy self-adaptive control in superheated steam temperature
【摘要】 将模糊控制和神经控制相结合, 设计出单神经元模糊自适应控制方案。该方案充分利用了模糊逻辑对非线性的逼近性和神经控制自适应的特点. 仿真结果表明, 本控制策略比 PID串级控制、二维PD型模糊控制和单神经元自适应控制具有更好的控制效果.
【Abstract】 Incorporating the fuzzy control and the neuron control, this paper has developed a new controller based on both fuzzy logic and neuron. This control strategy makes use of the characters of both fuzzy logic and neuron. The simulation results show that the new control method has better performance than that of the traditional PID control system, fuzzy control system and neuron self-adaptive control system.
【关键词】 模糊控制;
神经控制;
自适应;
过热蒸汽温度;
【Key words】 fuzzy control; neuron control; self-adaptation; superheated steam temperature;
【Key words】 fuzzy control; neuron control; self-adaptation; superheated steam temperature;
【基金】 国家自然科学基金 (59974005)
- 【文献出处】 材料与冶金学报 ,Journal of Materials and Metallurgy , 编辑部邮箱 ,2005年01期
- 【分类号】TK32
- 【被引频次】2
- 【下载频次】124