Speed Control for DC Encoder Motor and Path Optimization in an Automated Guided Vehicle
Madhuri Chavan1, Maya G.2

1Madhuri Chavan*,Dept of Electrical and Electronics Engineering, MESCE Kuttippuram, India.
2Dr. Maya G., Dept of Electrical and Electronics Engineering, MESCE Kuttippuram, India. 

Manuscript received on April 02, 2020. | Revised Manuscript received on April 21, 2020. | Manuscript published on May 30, 2020. | PP: 977-980 | Volume-9 Issue-1, May 2020. | Retrieval Number: F1133038620 /2020©BEIESP | DOI: 10.35940/ijrte.F1133.059120
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© The Authors. Blue Eyes Intelligence Engineering and Sciences Publication (BEIESP). This is an open access article under the CC-BY-NC-ND license (http://creativecommons.org/licenses/by-nc-nd/4.0/)

Abstract: Automated guided vehicle (AGV) has variety of applications in the field of automotive and logistics. For stability of plant AGV should run at a constant speed. The AGV incorporates DC encoder motor which is controlled by Fuzzy controller and PID controller to acquire the constant speed. Response of the system with of fuzzy controller and PID controller is done. . The steady state error and overshoot of the system is reduced by the fuzzy logic controller. Dijkstra’s algorithm is applied to find an optimal path. This algorithm finds the shortest path between the source node and destination node.
Keywords:  Automated Guided Vehicle, Fuzzy controller, shortest path, Dijkstra’s algorithm.
Scope of the Article: Fuzzy Logics