Data-driven Model-Free Adaptive Control of twin rotor aerodynamic systems

Author

Roman, Raul-Cristian ; Radac, Mircea-Bogdan ; Precup, Radu-Emil

Author_Institution

Dept. of Autom. & Appl. Inf., Politeh. Univ. of Timisoara, Timişoara, Romania

fYear

2014

fDate

15-17 May 2014

Firstpage

25

Lastpage

30

Abstract

This paper proposes data-driven Model-Free Adaptive Control (MFAC) algorithms for a Multi Input-Multi Output (MIMO) twin rotor aerodynamic systems. The azimuth and pitch position control are carried out using a MIMO control system structure with two control loops, one for each axis of motion. A set of experimental results on laboratory equipment is given to show the ability of the MFAC algorithms to control the mechanical ensemble even without decoupling and in spite of disturbances.

Keywords

DC motors; MIMO systems; aerodynamics; machine control; model reference adaptive control systems; motion control; nonlinear control systems; position control; rotors; MFAC algorithms; MIMO control system structure; MIMO twin rotor aerodynamic systems; azimuth control; control loops; data-driven model-free adaptive control; laboratory equipment; mechanical ensemble control; multiinput-multioutput twin rotor aerodynamic systems; pitch position control; Adaptation models; Aerodynamics; Azimuth; Heuristic algorithms; MIMO; Position control; Rotors;

fLanguage

English

Publisher

ieee

Conference_Titel

Applied Computational Intelligence and Informatics (SACI), 2014 IEEE 9th International Symposium on

Conference_Location

Timisoara

Type

conf

DOI

10.1109/SACI.2014.6840079

Filename

6840079