Experimental Validation of Fuzzy-Optimal Control for a Two-Wheeled Inverted Pendulum

Marco Herrera, Diego S. Benítez, Omar Aguirre, Oscar Camacho

Producción científica: Capítulo del libro/informe/acta de congresoContribución a la conferenciarevisión exhaustiva

Resumen

This paper presents an optimal controller with integral action based on Takagi-Sugeno (TS) fuzzy modeling of a multivariable nonlinear system to control a two-wheeled inverted pendulum. The T-S fuzzy model was obtained by generating input/output data using Monte Carlo simulations. A Kalman Filter enhances trajectory tracking when estimating the orientation angle, which is problematic due to electromagnetic interference. Furthermore, the Kalman filter is also used to remove the drift effect of the gyro sensor to improve the estimation of the tilt angle. The proposed controller is robust against modeling uncertainties through mass change; it also presents a steady-state error very close to zero, which brings the system to the desired final states. The designed controller was implemented on the Lego Mindstorms NXT 2.0 educational platform using the RobotC programming language.

Idioma originalInglés
Título de la publicación alojadaECTM 2023 - 2023 IEEE 7th Ecuador Technical Chapters Meeting
EditoresDavid Rivas Lalaleo, Manuel Ignacio Ayala Chauvin
EditorialInstitute of Electrical and Electronics Engineers Inc.
ISBN (versión digital)9798350338232
DOI
EstadoPublicada - 2023
Evento7th IEEE Ecuador Technical Chapters Meeting, ECTM 2023 - Ambato, Ecuador
Duración: 10 oct. 202313 oct. 2023

Serie de la publicación

NombreECTM 2023 - 2023 IEEE 7th Ecuador Technical Chapters Meeting

Conferencia

Conferencia7th IEEE Ecuador Technical Chapters Meeting, ECTM 2023
País/TerritorioEcuador
CiudadAmbato
Período10/10/2313/10/23

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