基于神经网络BP算法的模糊自适应控制器的研究与实现  

The research and rzalization of the self-adapting fuzzy controller based on BP algorithm

作　　者：李秀改[1] 候媛彬 

机构地区：[1]西安科技学院自动化系,陕西西安710054

出　　处：《电气传动自动化》2000年第4期24-26,共3页Electric Drive Automation

摘　　要：提出了一种基于神经网络BP算法的模糊自适应控制器 ,通过BP算法 ,修正量化因子和比例因子 ,使模糊控制器具有自适应的能力。计算机仿真结果和实验表明 ,这种智能控制器超调小、响应快且具有良好的鲁棒性。A self-adapting fuzzy controller based on the BP algorithm of neural network is presented.the fuzzy controller has the ability of self-adapting through the BP algorithm which can adjust the quantizing factor and the scaling factor.The simulation results and the expriments show that the intelligent controller has a good feature of small overshoot,fast response and good robust ness.

关 键 词：神经网络 BP算法 模糊自适应控制器 电阻炉 

分 类 号：TM571.64[电气工程—电器] TM924.3