一类纯反馈非仿射非线性系统的自适应神经网络变结构控制注意:本论文已在《自动化仪表》 2009,30(5):7-10发表 摘要:机电运动系统是一类受未知转动惯量和摩擦力影响的非线性系统,如何对这类系统进行快速、 准确地建模是当前研究的难点。分析了 Lugre机理模型和神经网络算法建模的局限性;并且针对摩擦力的局部性特点,提出了一种新颖、 快速的辨识算法,以保证在芯片或嵌入式处理器上实施。设计了自适应鲁棒控制器以实现光滑的变结构控制, 证明了闭环系统的收敛性。通过仿真,验证了其良好的性能。 Fast Speed Modeling and Control for Mechano-electric Motion System( Dept. of Automation, East China Univ. of Science & Technology , Shanghai 200237 , China) Abstract :Mechano-electric motion system is one of the nonlinear systems affected by unknown rotating inertia and friction. At present, building model precisely for such systems in fast speed is a challenge in research. The limitations of Lugre mechanism model and neural net work algorithm modeling are analyzed. Aming at the local feature of friction , a new type and fast speed identification algorithm is proposed to guarantee its implementation on chip or embedded processor. In addition, the adaptive robust controller is designed to implement smooth variable structure control; and the convergence of closed loop system is verified. Through simulation, the excellent performance has been proved. 1、浏览PDF格式全文需要使用软件--Abode Acrobat(由于软件较大并常见,我站不提供下载) 2、下载论文全文请点击鼠标右键“另存为”或使用断点续传软件下载(248KB) 本站收录的本文作者的其他论文: 1、 Matrix Expression of the Orthogonal Wavelet (Packets) Transform
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