Neural Network-Based Speed Control of A Two-Mass-Model System
Rached Dhaouadi, Khaled Nouri
Ecole Polytechnique de Tunisie
BP. 743, La Marsa, 2078 Tunisia
We present an application of artificial neural networks to the problem of controlling the speed of an elastic drive system. We derive a neural network structure to simulate the inverse dynamics of the system, then implement the direct inverse control scheme in a closed loop. The neural network learning is done on-line to adaptively control the speed to follow a stepwise changing reference. The experimental results with a two-mass-model analog board confirm the effectiveness of the proposed neurocontrol scheme.