Artificial neural network as a gain scheduler for PI speed controller in DC motor drives

The paper proposes application of an artificial neural network (ANN) as a gain scheduler for a conventional PI speed controller. A comparative analysis of a DC motor drive behaviour, controlled by a conventional PI speed controller with and without ANN based gain scheduling, is performed, It is shown that gain scheduling by a suitably trained ANN enables very good quality of the drive performance over a wide range of operating conditions. The achievable quality of performance is superior to the one obtainable without gain scheduling. Verification of the proposed DC motor speed control system is provided by extensive simulation.