Intelligent Control of Robotic Elbow Joint Based on RBF Neural Network
This work was supported in part by the National Nature Science Funding of China under Grant 60772167/F010104.
This paper proposed a robotic elbow joint intelligent control method based on Redial Basis Function neural network(RBF_NN), which is capable of tracking the desired trajectory with high accuracy. Dynamics of robotic joint and design of the RBF-NN-based controller is formulated. A lot of simulations are conducted, and the simulation results have shown that the control strategy is feasible and efficient.