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一种单入口匝道自适应模糊控制算法研究
Study on a Self-Adaptive Fuzzy Control Algorithm of Single Ramp
【摘要】 高速公路入口匝道控制系统是一种非线性时变系统。本文基于BP神经网络和自适应模糊控制,结合MATLAB仿真工具,对一种单入口匝道自适应模糊控制算法进行了研究。深入阐述了单入口匝道自适应模糊控制算法的三层BP神经网络结构、数学模型、仿真以及其他相关算法中存在的缺陷。通过仿真实验得出结论,这种控制算法在高速公路控制上能够达到理想的效果。
【Abstract】 The freeway on-ramp control system is a nonlinear, time variable system. Based on BP neural network and self-adaptation fuzzy control, combined MATLAB simulation tool, the paper researches a self-adaptation fuzzy control algorithm of single ramp. Three layer BP neural network structures, mathematics model and simulation are discussed in detail. As well, some limitations of other related algorithms are also expounded. The results from experi-mentation and simulation showed that this control algorithm has a perfect effect in freeway.
【关键词】 入口匝道控制;
神经网络;
自适应;
模糊控制;
【Key words】 Ramp Control Neural Network Self-adaptation Fuzzy Control;
【Key words】 Ramp Control Neural Network Self-adaptation Fuzzy Control;
- 【文献出处】 仪器仪表标准化与计量 ,Instrument Standardization & Metrology , 编辑部邮箱 ,2006年04期
- 【分类号】TP273.4
- 【下载频次】72