采煤机调高系统的模糊神经网络自适应控制

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。

Fuzzy Adaptive Control Based on Neural Network for Shearer Lifting System

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.