The DOI matches its Crossref record; 37 of the 37 references it cites were found in a registry or an index.
Adaptive Neural Network Control of a Flapping Wing Micro Aerial Vehicle With Disturbance Observer
Abstract
The research of this paper works out the attitude and position control of the flapping wing micro aerial vehicle (FWMAV). Neural network control with full state and output feedback are designed to deal with uncertainties in this complex nonlinear FWMAV dynamic system and enhance the system robustness. Meanwhile, we design disturbance observers which are exerted into the FWMAV system via feedforward loops to counteract the bad influence of disturbances. Then, a Lyapunov function is proposed to prove the closed-loop system stability and the semi-global uniform ultimate boundedness of all state variables. Finally, a series of simulation results indicate that proposed controllers can track desired trajectories well via selecting appropriate control gains. And the designed controllers possess potential applications in FWMAVs.
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Cites
Chen, C. L. P., & Liu, Z. (2018) · IEEE Transactions on Neural Networks and Learning Systems · doi:10.1109/tnnls.2017.2716952 · Cited by 1,957
A nonlinear disturbance observer for robotic manipulators
Chen, W.-H., Ballance, D. J., Gawthrop, P. J., & O'Reilly, J. (2000) · IEEE Transactions on Industrial Electronics · doi:10.1109/41.857974 · Cited by 1,752
Disturbance Observer Based Control for Nonlinear Systems
Chen, W.-H. (2004) · IEEE/ASME Transactions on Mechatronics · doi:10.1109/tmech.2004.839034 · Cited by 1,452
Adaptive Neural Network Control of an Uncertain Robot With Full-State Constraints
He, W., Chen, Y., & Yin, Z. (2016) · IEEE Transactions on Cybernetics · doi:10.1109/tcyb.2015.2411285 · Cited by 1,273
Self-citationControlled Flight of a Biologically Inspired, Insect-Scale Robot
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Disturbance Observer-Based Control: Methods and Applications
Li, S., Yang, J. T., Chen, W., & Chen, X. (2014) · Cited by 840
Liu, Y.-J., & Tong, S. (2017) · Automatica · doi:10.1016/j.automatica.2016.10.011 · Cited by 828
Aerodynamics of Low Reynolds Number Flyers
Shyy, W., Lian, Y., Tang, J., Viieru, D., & Liu, H. (2007) · Cambridge University Press eBooks · doi:10.1017/cbo9780511551154 · Cited by 780
The novel aerodynamics of insect flight: applications to micro-air vehicles
Ellington, C. P. (1999) · Journal of Experimental Biology · doi:10.1242/jeb.202.23.3439 · Cited by 764
Development of the Nano Hummingbird: A Tailless Flapping Wing Micro Air Vehicle
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Cited by
Neural Networks-Based Adaptive Control for Nonlinear State Constrained Systems With Input Delay
Li, D.-P., Liu, Y.-J., Tong, S., Chen, C. L. P., & Li, D.-J. (2019) · IEEE Transactions on Cybernetics · doi:10.1109/tcyb.2018.2799683 · Cited by 382
Metadata
- Authors
- He, W., Yan, Z., Sun, C., & Chen, Y.
- Venue
- IEEE Transactions on Cybernetics
- Published
- 2017-10
- Volume
- 47
- Issue
- 10
- Pages
- 3452-3465
- ISSN
- 2168-2267 (ISSN-L)
- 2168-2275
- OpenAlex
- W2752879615
- Cited by
- 328
- References
- 37
- FWCI
- 30.65
- Type
- journal article
- Language
- en
- Open access
- closed
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