Speed control system design using fuzzy-pid for load variation of automated guided vehicle (AGV)
- Resource Type
- Conference
- Authors
- Silvirianti; Krisna, A.S. Riesa; Rusdinar, Angga; Yuwono, Sigit; Nugraha, R.
- Source
- 2017 2nd International Conference on Frontiers of Sensors Technologies (ICFST) Frontiers of Sensors Technologies (ICFST), 2017 2nd International Conference on. :426-430 Apr, 2017
- Subject
- Photonics and Electrooptics
Fuzzy logic
Wheels
Sensors
DC motors
Tires
Control systems
Acoustics
Automated guided vehicle
load variation stability
Fuzzy inference system
PID
- Language
The stability of the movement of an Automated Guided Vehicle (AGV) directly affects the safety of the delivered goods. Variation of loads during the delivery process is one of causes of the instability movement of an AGV. This research discusses the design and implementation of the AGV's speed control system to tackle the load and contour variation using Fuzzy Inference System integrated with PID method. The input of the system comes from speed and tilt sensors near the AGV's wheels. This information is then processed by Fuzzy Inference System whose output are data about the AGV's speed and the parameter values for the proportional, integral, and derivative (PID) controller. In the experiment we operated the AGV in a real industrial condition with variation of loads. The result shows that the AGV can automatically move in a nearly constant speed of 10 meter per minute regardless of the AGV's load.