الفهرس | Only 14 pages are availabe for public view |
Abstract The main purpose of this thesis is to control a robotic arm that uses two controllers to get the desired location. The proportional integral derivative (PID) controller is used as a signal for a comparison of its results with the results of the fuzzy logic controller (FLC). Consequently, no single solution for the IK presupposes the application of appropriate predictive models from the soft computing. The Artificial Neural Network (ANN) and the Adaptive Neuro-Fuzzy Inference System ( ANFIS) can be used profitably to produce the desired results. In the current work several ANN and ANFIS models are then used to solve the IK problem. Although some selected models of ANN and ANFIS for a comparative estimate of IK are not modern in this area, intelligent approximation. |