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PID self tuning control based on Mamdani fuzzy logic control for quadrotor stabilization

Journal Article · · AIP Conference Proceedings
DOI:https://doi.org/10.1063/1.4940261· OSTI ID:22494567
 [1];  [2]
  1. Aerospace and Aeronautics Electronics Research Group, Universitas Gadjah Mada, Yogyakarta (Indonesia)
  2. Department of Computer Science and Electronics, Universitas Gadjah Mada, Yogyakarta (Indonesia)

Quadrotor as one type of UAV have the ability to perform Vertical Take Off and Landing (VTOL). It allows the Quadrotor to be stationary hovering in the air. PID (Proportional Integral Derivative) control system is one of the control methods that are commonly used. It is usually used to optimize the Quadrotor stabilization at least based on the three Eulerian angles (roll, pitch, and yaw) as input parameters for the control system. The three constants of PID can be obtained in various methods. The simplest method is tuning manually. This method has several weaknesses. For example if the three constants are not exact, the resulting response will deviate from the desired result. By combining the methods of PID with fuzzy logic systems where human expertise is implemented into the machine language is expected to further optimize the control system.

OSTI ID:
22494567
Journal Information:
AIP Conference Proceedings, Journal Name: AIP Conference Proceedings Journal Issue: 1 Vol. 1705; ISSN APCPCS; ISSN 0094-243X
Country of Publication:
United States
Language:
English

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