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
Received:January 5, 1999Accepted:March 11, 1999Published:October 20, 1999
Keywords:Two-mass-model system, Inverse dynamics, Neural network, Adaptive control
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.
Cite this article as:R. Dhaouadi and K. Nouri, “Neural Network-Based Speed Control of A Two-Mass-Model System,” J. Adv. Comput. Intell. Intell. Inform., Vol.3 No.5, pp. 427-430, 1999.Data files: