Speed Control for DC Encoder Motor and Path Optimization in an Automated Guided Vehicle | Zendy

Madhuri Chavan | Zendy; Maya G. | Zendy

AI Assistant Blog Pricing

Home ZAIA Blog

Open Access

Speed Control for DC Encoder Motor and Path Optimization in an Automated Guided Vehicle

Author(s) -

Madhuri Chavan,

Maya G.

Publication year - 2020

Publication title -

international journal of recent technology and engineering (ijrte)

Language(s) - English

Resource type - Journals

ISSN - 2277-3878

DOI - 10.35940/ijrte.f1133.059120

Subject(s) - overshoot (microwave communication) , encoder , control theory (sociology) , pid controller , automotive industry , computer science , fuzzy logic , controller (irrigation) , dc motor , electronic speed control , open loop controller , node (physics) , dijkstra's algorithm , control engineering , shortest path problem , engineering , control (management) , artificial intelligence , temperature control , telecommunications , agronomy , graph , electrical engineering , structural engineering , closed loop , theoretical computer science , biology , aerospace engineering , operating system

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.

The content you want is available to Zendy users.

Already have an account? Click here to sign in.

Having issues? You can contact us here

Accelerating Research