SLM结构非谐波减振策略的主动神经pid算法。

J. A. Hernandez-Zarate, G. Muñoz-Hernández, E. Martinez-Leal, C. Gracios-Marin
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引用次数: 0

摘要

下一篇文章将介绍一种主动控制SLM结构振动的新方法。为了解决非谐波振荡问题,采用了一种新颖的神经- pid方法,得到了一种自整定算法,减少了对实际机电系统的危险影响。在FPGA上,通过在PID旁边定义一个典型的反向传播块来训练神经网络策略,使所提出的主动控制方案能够在线训练。最终的结构可以被认为是未来机电一体化设计的快速原型环境
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Active Neural-PID Scheme for Non-harmonic Vibration Attenuation Strategy on SLM Structures.
The next article presents a new alternative for active control for vibrations on SLM structures. To solve the non-harmonic oscillation behaviour, a novel neural-PID scheme is applied to obtain a self-tuning algorithm in terms of reduce the dangerous effects on the actual mechatronic systems developed. Neural strategy is established as a two slides net trained by a typical back propagation block defined next to the PID on a FPGA to let the training-online for the active control scheme proposed. The final structure can be considered as a rapid-prototyping environment for future mechatronic designs
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