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递归模糊神经网络同步机变结构控制(Ⅰ)
Variable-structure Control of Synchronizer by Recurrent Fuzzy Neural Network(Ⅰ)
【摘要】 根据裹包机的驱动系统控制精度较差的问题,提出采用应用递归模糊神经网络变结构控制线性同步电动机伺服系统,经过仿真,结果表明,该控制系统克服了上述缺点。
【Abstract】 A variable-structure control of a permanent magnet linear synchronous motor(PMLSM) servo-drive system using a recurrent fuzzy neural network was put forward to solve the problem of poor control precision in the servo system of packaging binding machine.Simulation and experimental results showed that the proposed a variable-structure control system using recurrent fuzzy neural network overcome above-mentioned drawback.
【关键词】 裹包机;
递归模糊神经网络;
变结构控制;
鲁棒性;
【Key words】 binding machine; recurrent fuzzy neural network; variable-structure control; robust control performance;
【Key words】 binding machine; recurrent fuzzy neural network; variable-structure control; robust control performance;
- 【文献出处】 包装工程 ,Packaging Engineering , 编辑部邮箱 ,2008年08期
- 【分类号】TB486
- 【下载频次】53