Mixed MFC-VRFT approach for a multivariable aerodynamic system position control
Document Type
Conference Proceeding
Publication Title
2016 IEEE International Conference on Systems, Man, and Cybernetics (SMC)
Publisher
Institute of Electrical and Electronics Engineers Inc.
Place of Publication
United States
School
School of Engineering
RAS ID
22219
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.
DOI
10.1109/SMC.2016.7844633
Access Rights
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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.