Movement control algorithm of weighted automated guided vehicle using fuzzy inference system
- Resource Type
- Conference
- Authors
- Sakir, Riesa Krisna Astuti; Rusdinar, Angga; Yuwono, Sigit; Wibowo, Agung Surya; Silvirianti; Jayanti, Nadia Tri
- Source
- 2017 2nd International Conference on Control and Robotics Engineering (ICCRE) Control and Robotics Engineering (ICCRE), 2017 2nd International Conference on. :135-139 Apr, 2017
- Subject
- Robotics and Control Systems
Fuzzy logic
Robot sensing systems
DC motors
Pulse width modulation
Wheels
Autonomous vehicles
Fuzzy sets
component
Automated Guided Vehicle
Loads
Instability
Fuzzy Inference System
- Language
Distribution of goods using Automated Guided Vehicle has been widely used by some of industry. The stability of vehicle movement directly affected to the safety of delivery. Load is one of major factors that caused instability movement of the vehicle. This research discusses the movement control algorithm of weighted vehicle by trolley using Fuzzy Inference System. The trolley as a load carrier of vehicle in this system is connected by hook attached at the behind of vehicle. The input of the system is come from line follower sensor that placed on the bottom of vehicle. Speed data of the weighted vehicle is become an input. The information is processed by Fuzzy Inference System. The output of Fuzzy Inference System is speed of the weighted vehicle. The result shows that the vehicle moves automatically in a constant speed at 70% of maximum Pulse Width Modulation (PWM).