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Nonlinear Robust Control by a Modulating-Function-Based Backstepping Super-Twisting Controller for a Quadruple Tank System.
Aranda-Cetraro, Italo; Pérez-Zúñiga, Gustavo; Rivas-Pérez, Raul; Sotomayor-Moriano, Javier.
Afiliación
  • Aranda-Cetraro I; Departamento de Ingeniería, Pontificia Universidad Católica del Perú (PUCP), Avenida Universitaria 1801, San Miguel, Lima 15088, Peru.
  • Pérez-Zúñiga G; Departamento de Ingeniería, Pontificia Universidad Católica del Perú (PUCP), Avenida Universitaria 1801, San Miguel, Lima 15088, Peru.
  • Rivas-Pérez R; Departamento de Ingeniería, Pontificia Universidad Católica del Perú (PUCP), Avenida Universitaria 1801, San Miguel, Lima 15088, Peru.
  • Sotomayor-Moriano J; Departamento de Automática y Computación, Universidad Tecnológica de la Habana José Antonio Echeverría (CUJAE), La Habana 19390, Cuba.
Sensors (Basel) ; 23(11)2023 May 31.
Article en En | MEDLINE | ID: mdl-37299949
ABSTRACT
In this paper, a robust nonlinear approach for control of liquid levels in a quadruple tank system (QTS) is developed based on the design of an integrator backstepping super-twisting controller, which implements a multivariable sliding surface, where the error trajectories converge to the origin at any operating point of the system. Since the backstepping algorithm is dependent on the derivatives of the state variables, and it is sensitive to measurement noise, integral transformations of the backstepping virtual controls are performed via the modulating functions technique, rendering the algorithm derivative-free and immune to noise. The simulations based on the dynamics of the QTS located at the Advanced Control Systems Laboratory of the Pontificia Universidad Católica del Perú (PUCP) showed a good performance of the designed controller and therefore the robustness of the proposed approach.
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Texto completo: 1 Colección: 01-internacional Base de datos: MEDLINE Asunto principal: Algoritmos / Laboratorios Idioma: En Revista: Sensors (Basel) Año: 2023 Tipo del documento: Article País de afiliación: Perú

Texto completo: 1 Colección: 01-internacional Base de datos: MEDLINE Asunto principal: Algoritmos / Laboratorios Idioma: En Revista: Sensors (Basel) Año: 2023 Tipo del documento: Article País de afiliación: Perú
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