DocumentCode :
162361
Title :
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
Link To Document :
بازگشت