| 基于模糊神经网络的PI自适应控制器 |
| |
| 引用本文： | 陈增强,孙明玮,袁著祉,陈春艳. 基于模糊神经网络的PI自适应控制器[J]. 华东理工大学学报(自然科学版), 2002, 0(Z1) |
| |
| 作者姓名： | 陈增强 孙明玮 袁著祉 陈春艳 |
| |
| 作者单位： | 南开大学自动化系 天津300071(陈增强，孙明玮，袁著祉)，南开大学自动化系 天津300071(陈春艳) |
| |
| 基金项目： | 国家自然科学基金项目 (60 1740 2 1)，教育部骨干教师资助计划 (教技司 0 0 -65号 ) |
| |
| 摘 要： | 利用模糊神经网络的模糊推理能力以及前馈神经网络的逼近能力 ,将其与自适应控制方案结合 ,并取带有控制增量约束的广义目标函数作为优化指标 ,从而推导出一种能对非线性非最小相位系统进行有效控制的模糊神经网络间接自适应控制器。在网络学习算法上采用带有动量项的BP算法。仿真结果表明了该方法的有效性。
|
| 关 键 词： | 模糊控制 神经网络控制 模糊神经网络 自适应控制 |
PI Adaptive Controller Based on Neuro-fuzzy Networks |
| |
| CHEN Zeng qiang ,SUN Ming wei,YUAN Zhu zhi,CHEN Chun yan. PI Adaptive Controller Based on Neuro-fuzzy Networks[J]. Journal of East China University of Science and Technology, 2002, 0(Z1) |
| |
| Authors: | CHEN Zeng qiang SUN Ming wei YUAN Zhu zhi CHEN Chun yan |
| |
| Affiliation: | CHEN Zeng qiang *,SUN Ming wei,YUAN Zhu zhi,CHEN Chun yan |
| |
| Abstract: | In this paper, an adaptive control scheme is combined with neuro fuzzy networks which can human like reason and with feed forward neural networks which can step by step approach and a general object function with constraints of control increments is employed as optimization index, leading to a PI adaptive controller by which systems with non linearity and of non minimum phase can be controlled effectively. BP algorithm with momentum term is used for training the neuro fuzzy networks serving as controller and the multi layer feed forward networks as identifier. Simulation results have demonstrated the effectiveness of this controller. |
| |
| Keywords: | fuzzy control neural network control neuro fuzzy network adaptive control |
| 本文献已被 CNKI 等数据库收录！ |
