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| 基于e-修正神经网络的直接自适应控制设计 | |
| 引用本文： | 李雪松,蔡军,李颖晖,李霞,雷晓犇. 基于e-修正神经网络的直接自适应控制设计[J]. 电光与控制, 2012, 19(9): 42-46 |
| 作者姓名： | 李雪松 蔡军 李颖晖 李霞 雷晓犇 |
| 作者单位： | 1. 空军工程大学航空航天工程学院,西安710038;中国人民解放军94370部队,济南250023 2. 中国人民解放军驻陕西飞机制造公司代表室,陕西汉中,723213 3. 中国人民解放军94370部队,济南,250023 4. 空军工程大学航空航天工程学院,西安,710038 |
| 基金项目： | 国家自然科学基金(61074007);空军工程大学研究生创新基金 |
| 摘 要： | 针对一般非线性不确定系统设计了一种e-修正神经网络直接自适应控制方法。首先采用虚拟控制量的方法,并将其分解成参考模型输出、线性动态补偿输出与神经网络自适应输出三项;然后针对传统σ-修正神经网络在权值更新时的不足,设计了一种基于e-修正方法的权值自适应更新律,并设计了输出反馈误差观测器用以对神经网络进行训练;最后对基于σ-修正与e-修正两种权值自适应更新律进行仿真对比。仿真结果表明基于e-修正神经网络方法在跟踪误差、不确定性逼近等效果上均优于基于σ-修正神经网络方法。 |
| 关 键 词： | 非线性不确定 直接自适应控制 e-修正神经网络 输出反馈 误差观测器 |
| 收稿时间： | 2011-06-21 |
Direct Adaptive Control Design Based on e-Modification Neural Network |
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| LI Xuesong , CAI Jun , LI Yinghui , LI Xia , LEI Xiaoben. Direct Adaptive Control Design Based on e-Modification Neural Network[J]. Electronics Optics & Control, 2012, 19(9): 42-46 | |
| Authors: | LI Xuesong CAI Jun LI Yinghui LI Xia LEI Xiaoben |
| Affiliation: | ben 1(1.Engineering College of Aeronautics and Astronautics,Air Force Engineering University,Xi’an 710038,China;2.No.94370 Unit of PLA,Jinan 250023,China;3.Military Representatire Office Stationing in Shanxi Airplane Company,Hanzhong 723213,China) |
| Abstract: | A direct adaptive control method was proposed based on e-Modification Neural Network(NN) for a general nonlinear uncertain sysytem.A method called pseudo-control was introduced which was constructed from the outputs of reference models the linear dynamic compensator outputs and NN outputs.To solve the proplem of the σ-Modification NN in weight updating we proposed the e-modification method to design the NN update law and designed an error observer based on output feedback to train the NN.Simulation was made for direct adaptive control of both e-Modification NN and σ-Modification NN.The simulation results show that:compared with the mthod based on σ-Modification NN the designed controller based on e-Modification NN has a better performance on output tracking error and uncertainty approaching. |
| Keywords: | nonlinear uncertainty direct adaptive control e-Modification NN output feedback error observer |
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