FOPI/FOPID tuning rule based on a fractional order model for the process

This paper deals with the design of a control system based on fractional order models and fractional order proportional-integral-derivative (FOPID) controllers and fractional-order proportional-integral (FOPI) controllers. The controller design takes into account the trade-off between robustness and...

Descripción completa

Detalles Bibliográficos
Autores: Meneses, Helber|||0000-0001-7119-3100, Arrieta Orozco, Orlando|||0000-0002-4004-8573, Padula, Fabrizio|||0000-0002-0013-9526, Visioli, Antonio|||0000-0002-9246-5715, Vilanova, Ramon|||0000-0002-8035-5199
Tipo de recurso: artículo
Fecha de publicación:2022
País:España
Institución:Universitat Autònoma de Barcelona
Repositorio:Dipòsit Digital de Documents de la UAB
Idioma:inglés
OAI Identifier:oai:ddd.uab.cat:266239
Acceso en línea:https://ddd.uab.cat/record/266239
https://dx.doi.org/urn:doi:10.3390/fractalfract6090478
Access Level:acceso abierto
Palabra clave:PID control
Fractional order
Automatic tuning
Performance analysis
Robustness
Descripción
Sumario:This paper deals with the design of a control system based on fractional order models and fractional order proportional-integral-derivative (FOPID) controllers and fractional-order proportional-integral (FOPI) controllers. The controller design takes into account the trade-off between robustness and performance as well as the trade-off between the load disturbance rejection and set-point tracking tasks. The fractional order process model is able to represent an extensive range of dynamics, including over-damped and oscillatory behaviors and this simplifies the process modelling. The tuning of the FOPID and FOPI controllers is achieved by using an optimization, as a first step, and in a second step, several fitting functions were used to capture the behavior of the optimal parameters of the controllers. In this way, a new set of tuning rules called FOMCoRoT (Fractional Order Model and Controllers Robust Tuning) is obtained for both FOPID and FOPI controllers. Simulation examples show the effectiveness of the proposed control strategy based on fractional calculus.