title: Robust design of a 2-DOF GMV controller: a direct self-tuning and fuzzy scheduling approach.
abstract: This paper presents a study on self-tuning control strategies with generalized minimum variance control in a fixed two degree of freedom structure-or simply GMV2DOF-within two adaptive perspectives. One, from the process model point of view, using a recursive least squares estimator algorithm for direct self-tuning design, and another, using a Mamdani fuzzy GMV2DOF parameters scheduling technique based on analytical and physical interpretations from robustness analysis of the system. Both strategies are assessed by simulation and real plants experimentation environments composed of a damped pendulum and an under development wind tunnel from the Department of Automation and Systems of the Federal University of Santa Catarina.
authors.affiliation: Department of Automation and Systems, Federal University of Santa Catarina, P.O. Box 476, ZIP Code 88040.900, Florianópolis, SC, Brazil. toninho@das.ufsc.br
authors.forename: Antonio S
authors.initials: AS
authors.lastname: Silveira
authors.forename: Jaime E N
authors.initials: JE
authors.lastname: Rodríguez
authors.forename: Antonio A R
authors.initials: AA
authors.lastname: Coelho
mesh_terms: D000465:Algorithms; D001331:Automation; D003198:Computer Simulation; D004867:Equipment Design; D005246:Feedback; D017143:Fuzzy Logic; D007221:Industry / Q000295:instrumentation*; D016018:Least-Squares Analysis; D015233:Models, Statistical; D017711:Nonlinear Dynamics; D015203:Reproducibility of Results