0
Research Papers

Novel Moving Mass Flight Vehicle and Its Equivalent Experiment

[+] Author and Article Information
Jianqing Li

Aerospace Engineering Department,
Harbin Institute of Technology,
Harbin 150001, China
e-mail: ljq18@hit.edu.cn

Changsheng Gao

Aerospace Engineering Department,
Harbin Institute of Technology,
Harbin 150001, China
e-mail: corturb@126.com

Tianming Feng

Aerospace Engineering Department,
Harbin Institute of Technology,
Harbin 150001, China
e-mail: fengtianming@hit.edu.cn

Wuxing Jing

Aerospace Engineering Department,
Harbin Institute of Technology,
Harbin 150001, China
e-mail: jingwuxing@163.com

1Corresponding author.

Contributed by the Dynamic Systems Division of ASME for publication in the JOURNAL OF DYNAMIC SYSTEMS, MEASUREMENT,AND CONTROL. Manuscript received August 30, 2017; final manuscript received May 17, 2018; published online June 18, 2018. Assoc. Editor: Yongchun Fang.

J. Dyn. Sys., Meas., Control 140(11), 111010 (Jun 18, 2018) (8 pages) Paper No: DS-17-1434; doi: 10.1115/1.4040326 History: Received August 30, 2017; Revised May 17, 2018

This paper presents a novel configuration of flight vehicle with moving mass control. We focus on the development of the proposed control mechanism and investigate the feasibility of an equivalent experimental setup. First, the effect of the moving mass parameters on the control authority is investigated. Then, a control law based on immersion and invariance (I&I) theory is presented for the moving mass control system. In the design process, we select a first-order target system to reduce the difficulty of controller design. To deal with the coupling caused by the additional inertia moment, which is generated by the motion of the moving mass, the extended state observer (ESO) is designed. The proposed adaptive controller is simulated and tested on the experimental setup. Finally, the simulation results validate the quality of the proposed adaptive controller, which ensures a good performance in the novel configuration with internal moving mass.

FIGURES IN THIS ARTICLE
<>
Copyright © 2018 by ASME
Your Session has timed out. Please sign back in to continue.

References

Janssens, F. L. , and van der Ha, J. C. , 2015, “ Stability of Spinning Satellite Under Axial Thrust, Internal Mass Motion, and Damping,” J. Guid., Control, Dyn., 38(4), pp. 761–771. [CrossRef]
Chen, L. , Zhou, G. , Yan, X. J. , and Duan, D. P. , 2012, “ Composite Control of Stratospheric Airships With Moving Masses,” J. Aircr., 49(3), pp. 794–801. [CrossRef]
Woolsey, C. A. , 2005, “ Reduced Hamiltonian Dynamics for a Rigid Body Coupled to a Moving Point Mass,” J. Guid., Control, Dyn., 28(1), pp. 131–138. [CrossRef]
Erturk, S. A. , and Dogan, A. , 2013, “ Trim Analysis of a Moving-Mass Actuated Airplane in Steady Turn,” AIAA Paper No. 2013-0622.
Vengate, S. R. , Erturk, S. A. , and Dogan, A. , 2016, “ Development and Flight Test of Moving-Mass Actuated Unmanned Aerial Vehicle,” AIAA Paper No. 2016-3713.
Claus, B. , and Bachmayer, R. , 2017, “ A Parameterized Geometric Magnetic Field Calibration Method for Vehicles With Moving Masses With Applications to Underwater Gliders,” J. Field Rob., 34(1), pp. 209–223.
Haus, T. , Prkut, N. , Borovina, K. , Maric, B. , and Orsag, M. , 2016, “ A Novel Concept of Attitude Control for Large Multirotor-UAVs Based on Moving Mass Control,” 24th Mediterranean Conference on Control and Automation (MED), Athens, Greece, June 21–24, pp. 832–839.
Zhang, Z. , Wang, Y. K. , and Mao, J. Q. , 2012, “ Moving-Mass Control of Hypersonic Vehicles Based on Fuzzy Tree Inverse Method,” Sci. China Technol., 42(11), pp. 1379–1390.
Menon, P. K. , Sweriduk, G. D. , Ohlmeyer, E. J. , and Malyevac, D. S. , 2004, “ Integrated Guidance and Control of Moving-Mass Actuated Kinetic Warheads,” J. Guid., Control, Dyn., 27(1), pp. 118–126. . [CrossRef]
Petsopoulos, T. , Regan, F. J. , and Barlow, J. , 1996, “ Moving-Mass Roll Control System for Fixed-Trim Re-Entry Vehicle,” J. Spacecr. Rockets, 33(1), pp. 54–60. [CrossRef]
Robinett, R. D. , Sturgis, B. R. , and Kerr, S. A. , 1996, “ Moving Mass Trim Control for Aerospace Vehicles,” J. Guid., Control, Dyn., 19(5), pp. 1064–1070. [CrossRef]
Gao, C. , Jing, W. , and Wei, P. , 2013, “ Research on Application of Single Moving Mass in the Reentry Warhead Maneuver,” Aerosp. Sci. Technol., 30(1), pp. 108–118. [CrossRef]
Gao, C., Jing, W., and Wei, P., 2014, “ Roll Control Problem for the Long-Range Maneuverable Warhead,” Aircr. Eng. Aerosp. Technol., 86(5), pp. 440–446. [CrossRef]
Li, J. Q. , Gao, C. S. , Jing, W. X. , and Wei, P. X. , 2017, “ Dynamic Analysis and Control of Novel Moving Mass Flight Vehicle,” Acta Astronaut., 131, pp. 36–44. [CrossRef]
Han, J. Q. , 2009, “ From PID to Active Disturbance Rejection Control,” IEEE Trans. Ind. Electron., 56(3), pp. 900–906. [CrossRef]
Astolfi, A. , and Ortega, R. , 2003, “ Immersion and Invariance: A New Tool for Stabilization and Adaptive Control of Nonlinear Systems,” IEEE Trans. Autom. Control, 48(4), pp. 590–606. [CrossRef]
Astolfi, A. , Karagiannis, D. , and Ortega, R. , 2008, Nonlinear and Adaptive Control With Applications, Springer-Verlag, London, pp. 276–309. [CrossRef] [PubMed] [PubMed]
Tagne, G. , Talj, R. , and Charara, A. , 2015, “ Design and Validation of a Robust Immersion and Invariance Controller for the Lateral Dynamics of Intelligent Vehicles,” Control Eng. Pract., 40, pp. 81–92. [CrossRef]
Acosta, J. Á. , Ortega, R. , Astolfi, A. , and Sarras, I., 2008, “ A Constructive Solution for Stabilization Via Immersion and Invariance: The Cart and Pendulum System,” Automatica, 44(9), pp. 2352–2357. [CrossRef]
Bustan, D. , Sani, S. K. H. , and Pariz, N. , 2014, “Immersion, and Invariance, Based Fault Tolerant Adaptive Spacecraft Attitude Control,” Int. J. Control Autom. Syst., 12(2), pp. 333–339. [CrossRef]

Figures

Grahic Jump Location
Fig. 1

The sketch moving mass flight vehicle: (a) point moving mass configuration and (b) proposed moving mass configuration

Grahic Jump Location
Fig. 2

The AOA response of different configurations

Grahic Jump Location
Fig. 3

Trim AOA versus mass ratio for different ΔBP

Grahic Jump Location
Fig. 4

Block scheme of the adaptive controller

Grahic Jump Location
Fig. 5

Schematic of the experiment setup of the moving mass system

Grahic Jump Location
Fig. 6

Trim angle versus mass ratio for different Lop

Grahic Jump Location
Fig. 7

Experimental setup of the moving mass system

Grahic Jump Location
Fig. 8

Block diagram of the experimental setup

Grahic Jump Location
Fig. 9

Simulation results with aerodynamic perturbation: (a) reference command tracking (b) deflection angle of moving mass, and (c) estimation error

Grahic Jump Location
Fig. 10

Experimental results with different control gains: (a) tracking trajectory (b) commanded deflection angle of moving mass (c) rotational angle of motor, and (d) estimation of ESO

Tables

Errata

Discussions

Some tools below are only available to our subscribers or users with an online account.

Related Content

Customize your page view by dragging and repositioning the boxes below.

Related Journal Articles

Sorry! You do not have access to this content. For assistance or to subscribe, please contact us:

  • TELEPHONE: 1-800-843-2763 (Toll-free in the USA)
  • EMAIL: asmedigitalcollection@asme.org
Sign In