Mixed MFC-VRFT approach for a multivariable aerodynamic system position control
Abstract
This paper proposes a mixed nonlinear data-driven Model-Free Control (MFC) - Virtual Reference Feedback Tuning (VRFT) technique, where the parameters of the MFC algorithm are automatically computed via VRFT. The resulted mixed MFC-VRFT algorithm is then tested on a Multi Input-Multi Output twin rotor aerodynamic system model, and the results are compared with an MFC algorithm whose parameters were optimally computed using a Gravitational Search algorithm.
Document Type
Conference Proceeding
Date of Publication
2017
Location of the Work
United States
Publication Title
2016 IEEE International Conference on Systems, Man, and Cybernetics (SMC)
Publisher
Institute of Electrical and Electronics Engineers Inc.
School
School of Engineering
RAS ID
22219
Copyright
subscription content
Comments
Roman, R. C., Radac, M. B., & Precup, R. E. (2017, October). Mixed MFC-VRFT Approach for a multivariable aerodynamic system position control [Paper presentation]. 2016 IEEE International Conference on Systems, Man, and Cybernetics (SMC), Budapest, Hungary. Available here.