Leader–Follower Formation and Disturbance Rejection Control for Omnidirectional Mobile Robots

Author:

Ramírez-Neria Mario1ORCID,González-Sierra Jaime2ORCID,Madonski Rafal3ORCID,Ramírez-Juárez Rodrigo4ORCID,Hernandez-Martinez Eduardo Gamaliel1ORCID,Fernández-Anaya Guillermo5ORCID

Affiliation:

1. Institute of Applied Research and Technology, Universidad Iberoamericana Ciudad de México, Prolongación Paseo de la Reforma 880, Colonia Lomas de Santa Fe, Mexico City 01219, Mexico

2. Unidad Profesional Interdisciplinaria de Ingeniería Campus Hidalgo, Instituto Politécnico Nacional, Carretera Pachuca—Actopan Kilómetro 1+500, Distrito de Educación, Salud, Ciencia, Tecnología e Innovación, San Agustín Tlaxiaca 42162, Mexico

3. Faculty of Automatic Control, Electronics and Computer Science, Silesian University of Technology, 44-100 Gliwice, Poland

4. FESC-C4-UNAM Carr. Cuautitlán-Teoloyucan K.M 2.5, Cuautitlán Izcalli 54714, Mexico

5. Physics and Mathematical Department, Universidad Iberoamericana Ciudad de México, Prolongación Paseo de la Reforma 880, Colonia Lomas de Santa Fe, Mexico City 01219, Mexico

Abstract

This paper proposes a distance-based formation control strategy with real-time disturbance rejection for omnidirectional mobile robots. The introduced control algorithm is designed such that the leader tracks a desired trajectory while the follower keeps a desired distance and formation angle concerning the leader. In the first step, the evolution of distance and formation angle is obtained from a perturbed second-order dynamic model of the robot, aided by a general proportional integral observer (GPIO), added to estimate unwanted disturbances. Then, the control law is designed for both robots via the active disturbance rejection control (ADRC) methodology, which only depends on the position, distance, and orientation measurements. A numerical simulation compared with a robust controller exhibits the system’s behavior. Furthermore, a set of laboratory experiments is conducted to verify the performance of the proposed control system, where a motion capture system is used as a proof of concept. In this context, this is considered a previous step for further experimentation with onboard sensors.

Funder

Instituto Politécnico Nacional

Universidad Iberoamericana Ciudad de México

Publisher

MDPI AG

Subject

Artificial Intelligence,Control and Optimization,Mechanical Engineering

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