Study on Static Decoupling of Multi-Axes Force Sensor Based on Neural Network

A static decoupling method of multi axes force sensor based on ANN (Artificial Neural Network) is proposed in this paper. The coupling problem is an important factor limiting measuring accuracy of multi axes force sensor. In order to overcome the limitation of traditional linear decoupling, a nonlinear static decoupling method is designed based on BP neural network which possesses strong nonlinear approaching ability. The decoupling experiment is implemented by using a miniature five axes fingertip force sensor and the experimental results show that the method greatly improves the decoupling accuracy in comparison with traditional linear decoupling based on LS (Least Square).