Hybrid Neural Network Models of Six-axis Force Sensor

摘要：

　　A method of analyzing the Six-axis force measuring system by hybrid modeling is introduced in this paper.The mapping function of signal voltage output,which is input vectors of the Neural Network (NN) model,and measuring force signal,which is output vectors of the NN model,is represented as two parts.The determined linear part obtains the main principle and the the information of transfer matrix.The undetermined nonlinear part are estimated by neural network.The problems about nonlinear error and coupling are solved.The accuracy and feasibility of the method are displayed by the result of experiment data simulation.

关键词： Neural network Hybrid modeling Calibration Decouple Nonlinear error

作者: Sheng Lai Chen Jian Zhong Hong

作者单位: Institute of System Engineering,China Academy of Engineering Physics,Mianyang 621900

会议类型: 国际会议

会议名称: the 2012 International Conference on Manufacturing Engineering and Automation (2012年制造工程与自动化国际会议(ICMEA2012))

会议地点: 广州

会议语种:英文

页码: 1450-1456

在线出版日期: 2012-11-16（万方平台首次上网日期，不代表论文的发表时间）