Recent Study on Speed Control for DC Encoder Motor and Path Optimization in an Automated Guided Vehicle | Chapter 3 | New Approaches in Engineering Research Vol. 2

 The automated guided vehicle (AGV) has a wide range of applications in the automotive and logistics industries. To ensure plant stability, the AGV should run at a constant speed. The AGV uses a DC encoder motor driven by a Fuzzy controller and a PID controller to maintain consistent speed. A fuzzy controller and a PID controller are used to achieve the system's response. The steady-state inaccuracy and overshoot of the system are reduced by the fuzzy logic controller. The best path is chosen using the Dijkstra algorithm. This algorithm determines the shortest path between the source and destination nodes.

Author (s) Details

Madhuri Chavan
Department of Electrical and Electronics Engineering, MESCE, Kuttippuram, India.

Dr. G. Maya
Department of Electrical and Electronics Engineering, MESCE, Kuttippuram, India.

View Book :- https://stm.bookpi.org/NAER-V2/article/view/2117

Automated Guided Vehicle for Physically Handicapped People – A Cost Effective Approach | Chapter 11 | Advanced Aspects of Engineering Research Vol. 3

 The Automated Guided Vehicle (AGV) is a robot that can automatically transport materials from the supply area to the technician. This is more powerful and quicker. Wireless access to the robot is possible. Rather than relying on a human operator to deliver the parts, a technician can monitor the robot directly (over phone, computer etc. who has to programme the robot or ask a delivery person to make the delivery). The Automated Guided Vehicle, or AGV, is a type of material handling equipment that is commonly used in today's manufacturing industries because it gives systems more versatility. However, the design of this AGV must be performed correctly in order to optimise its usability. The vehicle is led along its path by itself. A proximity sensor is connected to the device to prevent collisions. In the presence of obstacles, the sensor detects the signals of the obstacles and can stop the vehicle. As a result, the vehicle will prevent collisions, which is very useful in today's manufacturing trend, and material and equipment handling can be automated, resulting in a time-saving approach.

Author (s) Details

Dr. G. Arun Kumar
Department of Mechanical Engineering, Sathyabama Institute of Science and Technology, Chennai, Tamilnadu, India.

Mr. S. Lakshmisankar
Department of Mechanical Engineering, Sathyabama Institute of Science and Technology, Chennai, Tamilnadu, India.

View Book :- https://stm.bookpi.org/AAER-V3/issue/view/42