Neuron-based adaptive control algorithm for a computerised numerical control positioning servo system

A neuron-based adaptive controller is proposed for the positioning servo control of CNC machine tools due to neuron self-learning. The algorithm has the 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 effectiveness of this approach.