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对迟滞三明治系统基于Duhem算子的自适应控制

Adaptive control of nonlinear system with sandwiched hysteresis using Duhem operator
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摘要 对具有迟滞非线性的三明治系统,设计了基于Duhem算子的神经网络自适应控制器.首先对前端动态子系统进行近似补偿;然后用Duhem算子描述所提出的迟滞状态,用神经网络逼近迟滞状态与迟滞输出的关系,实现对迟滞非线性的建模.基于该迟滞模型并采用伪控制技术设计神经网络自适应控制器,通过Lyapunov方法证明了系统的稳定性,并推导出神经网络的权值自适应调整律和控制律.最后通过仿真验证了该方案的有效性. A neural adaptive controller based on Duhem operator is presented for sandwich system with hysteresis.The first dynamic block of sandwich system is compensated approximately. Then a hysteretic state is proposed and described by using Duhem operator. The hysteresis model is derived by using the neural networks and the Duhem operator. Based on the hysteresis model, a neural adaptive controller is developed from the pseudocontrol method. The control law and adaptive law are derived from Lyapunov stability theorem, so that the ultimate boundedness of the closed-loop system is guaranteed. Finally, simulation results show the effectiveness of the proposed scheme.
作者 赵新龙 谭永红 赵彤
机构地区 上海交通大学自动化系 桂林电子科技大学智能系统与工业控制研究室 青岛科技大学自动化系
出处 《控制与决策》 EI CSCD 北大核心 2007年第10期1134-1138,共5页 Control and Decision
基金 国家自然科学基金项目(60572055 50265001)
关键词 迟滞 三明治系统 Duhem算子 神经网络 自适应控制 Hysteresis Sandwich system Duhem operator Neural networks Adaptive control
分类号 TP301 [自动化与计算机技术—计算机系统结构]
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控制与决策
2007年 第10期

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