Neuron-based adaptive control algorithm for CNC positioning servo system

A neuron-based adaptive controller is proposed for the positioning servo co ntrol of CNC machine tools due to neuron self-learning. The algorithm has t he benefit that the identification of system models is no longer necessary. Moreover, the simplicity of calculation makes the algorithm very suitable for practical engineering applications. A simulation example is given. The algorithm is applied to real-time control of positioning a servo system of a CNC machine tool, and excellent experimental results illustrate the effec tiveness of this approach.