Robot Control using an Artificial Neural Network Rutilius Taurus Aemilianus 1Patientenkompetenz35

1Patientenkompetenz35

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The Challenge of Change

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Robot Control using an Artificial Neural Network Rutilius Taurus Aemilianus 1Patientenkompetenz35Inhaltsangabe: Abstract: The aim of the project was to control three joints of an industrial robot in terms of its position, velocity and acceleration. The work considered the necessary hardware, principles of neural networks and controlling techniques. The hardware comprised of a robot with three DC motors and three optical position encoders, a personal computer with a D A card for voltage output to the robot and two D D cards. One D D card for