ZHANG Jing, SUN Qiang, GUAN Ting-ting. Output Feedback Control of the TORA System Based on Adaptive Neural Network[J]. 2015, 20(6): 83-87.
DOI:
ZHANG Jing, SUN Qiang, GUAN Ting-ting. Output Feedback Control of the TORA System Based on Adaptive Neural Network[J]. 2015, 20(6): 83-87.DOI: 10.15938/j.jhust.2015.06.015.
Output Feedback Control of the TORA System Based on Adaptive Neural Network
摘要
针对欠驱动的带有激励的平移振荡器(TORA)
应用泰勒级数展开法
将系统的动力学模型转换成带有匹配不确定项和零动态建模误差的线性化模型
对零动态建模误差提出了一定的约束.采用复合控制策略
由线性控制器和自适应控制器分别镇定系统的线性部分和匹配不确定项
利用观测器获得状态估计
通过反馈系统在线调节神经网络的权重值
实现TORA系统的输出反馈控制.仿真结果表明所提方法简单有效.
Abstract
For an underactuated translational oscillators with rotating actuator( TORA)
whose dynamics model is converted into the linear model with matching uncertainties and the modeling errors of zero dynamics
and put forward a certain constraints to the modeling errors of zero dynamics. In system design
linear controller and adaptive controller are respectively used to calm your system of linear part and matching uncertainties
using the observer to obtain state estimation
through feedback system to adjust neural network weights by the on- line way. Simulation results show that the proposed method is simple and effective.