ADAPTIVE RBFNN CONTROL FOR MOSFET GRASPING MANIPULATOR

摘要：

Electrostatic discharge (ESD) of MOSFET has become one of the major concerns in electronic product design, so the grasping with manipulator was proposed.The dynamic model of manipulator was established and adaptive neural network control with RBF NN strategy was applied to this repeat motion system.The adaptive law was designed and the simulation shows adaptive RBFNN control have good trajectory tracking ability and can applied into electronic design techniques for grasping control.

关键词： Manipulator Grasping control Neural networks Adaptive law Simulation

作者: DONG YONG QIANG WANG WU WANG HONG LING

作者单位: School of Electrical and information Engineering,Xu Chang University Xu Chang,China School of Electrical and information Engineering,Xu Chang University,Xu Chang,China

会议类型: 国际会议

会议名称: 2011 3rd International Conference on Computer Technology and Development(2011第三届计算机技术与发展国际会议 ICCTD2011)

会议地点: 成都

会议语种:英文

页码: 2253-2257

在线出版日期: 2011-11-25（万方平台首次上网日期，不代表论文的发表时间）