Fuzzy-Based Hybrid Control Algorithm for the Stabilization of a Tri-Rotor UAV

In this paper, a new and novel mathematical fuzzy hybrid scheme is proposed for the stabilization of a tri-rotor unmanned aerial vehicle (UAV). The fuzzy hybrid scheme consists of a fuzzy logic controller, regulation pole-placement tracking (RST) controller with model reference adaptive control (MRAC), in which adaptive gains of the RST controller are being fine-tuned by a fuzzy logic controller. Brushless direct current (BLDC) motors are installed in the triangular frame of the tri-rotor UAV, which helps maintain control on its motion and different altitude and attitude changes, similar to rotorcrafts. MRAC-based MIT rule is proposed for system stability. Moreover, the proposed hybrid controller with nonlinear flight dynamics is shown in the presence of translational and rotational velocity components. The performance of the proposed algorithm is demonstrated via MATLAB simulations, in which the proposed fuzzy hybrid controller is compared with the existing adaptive RST controller. It shows that our proposed algorithm has better transient performance with zero steady-state error, and fast convergence towards stability.

Medienart:

E-Artikel

Erscheinungsjahr:

2016

Erschienen:

2016

Enthalten in:

Zur Gesamtaufnahme - volume:16

Enthalten in:

Sensors (Basel, Switzerland) - 16(2016), 5 vom: 09. Mai

Sprache:

Englisch

Beteiligte Personen:

Ali, Zain Anwar [VerfasserIn]
Wang, Daobo [VerfasserIn]
Aamir, Muhammad [VerfasserIn]

Links:

Volltext

Themen:

Fuzzy hybrid controller
Journal Article
RST controller
Research Support, Non-U.S. Gov't
Tri-Rotor UAV
Unmanned Aerial Vehicle

Anmerkungen:

Date Completed 20.09.2017

Date Revised 20.09.2017

published: Electronic

Citation Status PubMed-not-MEDLINE

doi:

10.3390/s16050652

funding:

Förderinstitution / Projekttitel:

PPN (Katalog-ID):

NLM260273198