TY - GEN
T1 - LPV modeling and control for active flutter suppression of a smart airfoil
AU - Al-Hajjar, Ali M.H.
AU - Al-Jiboory, Ali Khudhair
AU - Sweiz, Sean Shan Min
AU - Zhux, Guoming
N1 - Funding Information:
The authors would like to thank the funding support of NASA ARMD Convergent Aeronautics Solutions (CAS) project. Ali M. H. Al-Hajjar also would like to thank the Higher Committee For Education Development (HCED) and University of kufa for his Ph.D. support.
Publisher Copyright:
© 2018, American Institute of Aeronautics and Astronautics Inc, AIAA. All right reserved.
PY - 2018/1/1
Y1 - 2018/1/1
N2 - In this paper, a novel technique of linear parameter varying (LPV) modeling and control of a smart airfoil for active flutter suppression is proposed, where the smart airfoil has a groove along its chord and contains a moving mass that is used to control the airfoil pitching and plunging motions. The new LPV modeling technique is proposed that uses mass position as a scheduling parameter to describe the physical constraint of the moving mass, in addition the hard constraint at the boundaries is realized by proper selection of the parameter varying function. Therefore, the position of the moving mass and the free stream airspeed are considered the scheduling parameters in the study. A state-feedback based LPV gain-scheduling controller with guaranteed H∞ performance is presented by utilizing the dynamics of the moving mass as scheduling parameter at a given airspeed. The numerical simulations demonstrate the effectiveness of the proposed LPV control architecture by significantly improving the performance while reducing the control effort.
AB - In this paper, a novel technique of linear parameter varying (LPV) modeling and control of a smart airfoil for active flutter suppression is proposed, where the smart airfoil has a groove along its chord and contains a moving mass that is used to control the airfoil pitching and plunging motions. The new LPV modeling technique is proposed that uses mass position as a scheduling parameter to describe the physical constraint of the moving mass, in addition the hard constraint at the boundaries is realized by proper selection of the parameter varying function. Therefore, the position of the moving mass and the free stream airspeed are considered the scheduling parameters in the study. A state-feedback based LPV gain-scheduling controller with guaranteed H∞ performance is presented by utilizing the dynamics of the moving mass as scheduling parameter at a given airspeed. The numerical simulations demonstrate the effectiveness of the proposed LPV control architecture by significantly improving the performance while reducing the control effort.
UR - http://www.scopus.com/inward/record.url?scp=85141604580&partnerID=8YFLogxK
U2 - 10.2514/6.2018-1342
DO - 10.2514/6.2018-1342
M3 - Conference contribution
AN - SCOPUS:85141604580
SN - 9781624105265
T3 - AIAA Guidance, Navigation, and Control Conference, 2018
BT - AIAA Guidance, Navigation, and Control
T2 - AIAA Guidance, Navigation, and Control Conference, 2018
Y2 - 8 January 2018 through 12 January 2018
ER -