基于粒子群和神经网络的XY压电作动器工作台位置控制

19th International Workshop on Robotics in Alpe-Adria-Danube Region (RAAD 2010) Pub Date : 2010-06-24 DOI:10.1109/RAAD.2010.5524552

D. Kusic, J. Cas

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引用次数: 0

摘要

本文提出了一种基于前馈神经网络(FNN)和附加粒子群优化(PSO)的2自由度XY压电作动器级(XY PAS)的位置控制方法，该方法是一种改进的学习方法，用于优化FNN的权值，而不仅仅是标准的误差反向传播技术。

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A particle swarm and neural network approach for position control of XY Piezo Actuator Stage

This paper describes a position control of 2 degrees of freedom (DOF) XY Piezo Actuator Stage (XY PAS) with Feedforward Neural Network (FNN) and additional Particle Swarm Optimization (PSO) approach, which is used as an improved learning method for optimizing the weights of FNN rather than just the standard technique of back-propagation of errors.

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19th International Workshop on Robotics in Alpe-Adria-Danube Region (RAAD 2010)

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