Abstract
The Smart Unmanned Aerial Vehicle (SUAV) is the tilt rotor type aircraft, which has been developed by the Korea Aerospace Research Institute (KARI). The actuation system of the SUAV is composed of actuators, controllers, and mechanical linkages for the control elements, i.e. nacelle tilt, flaperon, elevator, and rotor. It should be able to control the vehicle under a variety of aerodynamic loads while the control performance is fulfilled in terms of accuracy, response time, and stability. In order to satisfy the target performance, the system employs the sliding mode control that guarantees stability under varying loads. In addition, the system is enhanced with the fuzzy control logic that enables intelligent selection of the control switch. Based on this fuzzy sliding mode control (FSMC) scheme, the actuator controller of the SUAV receives the control commands from the Digital Flight Control Computer (DFCC) and transmits them to actuators under the feedback control logic. This paper presents the application of the FSMC to the SUAV and provides the description of the actuation system architectures, modeling and analysis for the actuation system, implementation of the control logic into the actuator controller, and verification of the actuator control system through ground and flight tests of the SUAV.
Similar content being viewed by others
References
Korea Aerospace Research Institute, Development Specification for Actuation System of Smart UAV, SUDC-DS-B23-03-001-R1, 2006.
Korea Aerospace Research Institute, Detailed Design Report for Actuation System of Smart UAV, SUDC-DR-B1-05-006-R0, 2005.
C. S. Yoo, Y. B. Jung, and S. B. Jung, “Modeling analysis for Flaperon actuator of smart UAV,” Proc. of the Korean Society for Aeronautical and Space Sciences, pp. 630–633, April 2006.
H. Chao, Y. Cao, and Y. Chen, “Autopilots for small unmanned aerial vehicles: a survey,” International Journal of Control, Automation and Systems, vol. 8, no. 1, pp. 36–44, 2010.
V. I. Utkin, “Variable structure system with sliding modes,” IEEE Trans. on Automation and Control, vol. 22, no. 2, pp. 212–222, 1977.
J. Y. Hung, W. Gao, and J. C. Hung, “Variable structure control: a survey,” IEEE Tran. on Industrial Electronics, vol. 40, no. 1, pp. 2–22, February 1993.
V. M. Panchade, L. M. Waghmare, B. M. Patre, and P. P. Bhogle, “Sliding mode control of DC drives,” Proc. of the IEE International Conference on Mechanics and Automation, pp. 1576–1880, August 2007.
V. I. Utkin, “Sliding mode control design principles and applications to electric drives,” IEEE Trans. on Industrial Electronics, vol. 40, no. 1, pp. 23–36, February 1993.
I. Eker, “Sliding mode control with PID sliding surface and experimental application to an electromechanical plant,” ISA Transactions, vol. 45, no. 1, pp. 109–118, January 2006.
M. G. Sarwer, M. A. Rafiq, and B. B. Ghosh, “Sliding mode speed controller of a D.C. motor drive,” J. of Electrical Engineering, vol. 31, no. I & II, pp. 45–49, December 2004.
J. K. Hedrick and S. Gopalswamy, “Nonlinear flight control design via sliding methods,” J. of Guidance, Control, and Dynamics, vol. 13, no. 5, pp. 850–858, 1990.
Y. J. Cheon, “Sliding mode control of spacecraft with actuator dynamics,” Trans. on Control, Automation, and Systems Engineering, vol. 4, no. 2, January 2002.
F. Zhou and D. G. Fisher, “Continuous sliding mode control,” Int. J. of Control, vol. 55, no. 2, pp. 313–327, 1992.
K. B. Park and J. J. Lee, “Sliding mode controller with filtered signal for robot manipulators using virtual plat/controller,” Mechatronics, vol. 7, no. 3, pp. 277–286, 1997.
H. S. Kim and Y. K. Shin “Design of adaptive fuzzy sliding mode controller based on fuzzy basis function expansion for UFV depth control,” International Journal of Control, Automation and Systems, vol. 3, no. 2, pp. 217–224, June 2005.
Author information
Authors and Affiliations
Corresponding author
Additional information
Recommended by Associate Editor Do Wan Kim under the direction of Editor Young-Hoon Joo.
Si-Dae Ryu received his M.S. degree in Aerospace Engineering from Chungnam National University, in 2008. Since 2008, he has been a research engineer in Smartec Inc. and in Korea Aerospace Research Institute and DBRAIN Inc. His research interests include flight control of UAV, actuation system.
Bum-Jin Park received his M.S. and Ph.D. degrees in Aerospace Engineering from Chungnam National University, in 2002 and 2006. Since 2005, he is a research engineer in Korea Aerospace Research Institute. His research interests include flight dynamics, simulation and control system.
Young-Shin Kang received his M.S. degree in Aerospace Engineering from Seoul National University in 1994. Since 1994, he has been a research engineer in Korea Aerospace Industries and Korea Aerospace Research Institute. His research interests include flight control law design and adaptive neural network control.
Soon-Bae Jung received his M.S. and Ph.D. degrees in Mechanical Design Engineering from Seoul National University, in 1983 and 1996, respectively. From 1987 to 2004, he had been a research engineer in Agency for Defense Development. Since 2004, he has founded the Smartec Inc. His research interests include nonlinear control, power control system, and learning control system.
Rights and permissions
About this article
Cite this article
Yoo, CS., Ryu, SD., Park, BJ. et al. Actuator controller based on fuzzy sliding mode control of tilt rotor unmanned aerial vehicle. Int. J. Control Autom. Syst. 12, 1257–1265 (2014). https://doi.org/10.1007/s12555-013-0009-9
Received:
Revised:
Accepted:
Published:
Issue Date:
DOI: https://doi.org/10.1007/s12555-013-0009-9