Work

Generalization to Type 2 of PSO-Optimized Type 1 PD Fuzzy Controller and its Application to a Quadrotor UAV

Year: 2025

Type: article

Abstract: This study presents a new Type 2 fuzzy logic (interval-valued fuzzy logic) control system for a Vertical Take Off and Landing (VTOL) quadrotor. The goal of the control design is to obtain robust and stable tracking of the desired angles in the presence of disturbances and noises. The membership functions relative to the linguistic variables of the fuzzy if-then rules are chosen to control the quadrotor to track a reference trajectory. The Particle Swarm Optimization (PSO) method is used to optimize controller-free parameters. The results obtained from an extensive simulation study show that the quadrotor can operate autonomously in flight with stable orientation. The performance of the controller was evaluated for both Type 1 and Type 2 fuzzy controllers. The simulation results show the effectiveness of the proposed controller and its better performance.

Source: Engineering Technology & Applied Science Research

DOI: 10.48084/etasr.9777

Authors: Meriem Benbrahim, Moufid Bouhentala, Mouna Ghanai, Kheireddine Chafaa, Najib Essounbouli

Institutions: Centre de Recherche en Sciences et Technologies de l'Information et de la Communication, Université de Reims Champagne-Ardenne

Language: English

Topic: Fuzzy Logic and Control Systems

Subfield: Artificial Intelligence

Field: Computer Science

Domain: Physical Sciences

Open Access status: gold

Estimated APC paid: $431

OpenAlex ID: W4409173992

FWCI: 0.831

Cites: 16

Cited by: 2

Related to: 10