采煤机调高系统的模糊神经网络自适应控制  

Fuzzy Adaptive Control Based on Neural Network for Shearer Lifting System

作　　者：王玉萍[1] 宋莹莹[1] 

机构地区：[1]黑龙江科技学院电气与信息工程学院,哈尔滨150027

出　　处：《煤矿机械》2009年第8期188-189,共2页Coal Mine Machinery

摘　　要：针对采煤机滚筒调高系统的非线性特点,采用了一种基于BP算法的模糊神经网络自适应控制,将模糊控制具有的较强逻辑推理功能、神经网络的自适应、自学习能力融为一体,形成了对非线性系统的良好控制策略。经仿真结果表明,该系统具有良好的动、静态性能及自适应性。In view of the character of drum lifting frame, a kind of fuzzy adaptive controller based on neural network is adapted, it intergrates the logic function of fuzzy control and adaptive and selflearning function of neural network ,forms a good control strategy for nonlinear system.The simulatling results suggest that the system has a good dynamic and static performance and self-adaptability.

关 键 词：模糊神经网络 自适应控制 BP算法 

分 类 号：TP421.61[自动化与计算机技术]