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International Journal of Information Technology & Computer Science ( IJITCS )

Abstract :

This paper presents the utilization of backpropagation neural network as a direct inverse control system for a double propeller boat model. Fine tuning method is then conducted by re-learning of the neural controller through the error between the inversed-plant output and control signal of the plant. Then, the proposed controller systems are tested using an open-loop direct inverse control scheme with, and without, feedback signal from the plant output. Simulations analysis showed that the proposed controller could control the boat with high accuracy. It was revealed also from these experiments, that the open-loop scheme without output feedback signal produced lower error compare with that of open-loop scheme with an output feedback signal .

Keywords :

: Boat control system; neural network controller, backpropagation learning, direct inverse controller, fine tuning method.

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