- Tytuł:
- Neural-sliding mode augmented robust controller for autolanding of fixed wing aircraft
- Autorzy:
-
Ismail, I.
Pashilkar, A. A.
Ayyagari, R.
Sundararajan, N. - Powiązania:
- https://bibliotekanauki.pl/articles/91533.pdf
- Data publikacji:
- 2012
- Wydawca:
- Społeczna Akademia Nauk w Łodzi. Polskie Towarzystwo Sieci Neuronowych
- Tematy:
-
controller
nonlinear dynamic inversion
control signal
phase compensator
antiwindup scheme
wing aircraft
autolanding - Opis:
- Neural and sliding mode controllers are generally based on the principle of nonlinear dynamic inversion. This leads to control signals containing high frequency components. This can result in actuator rate limiting due to loss of phase at higher frequencies. Large control inputs, for example due to the saturation component of the sliding mode controller can also result in position saturation of the actuator. In this paper we show that by the introduction of suitable phase compensators and an antiwindup scheme the neuralaided sliding mode controller performance can be improved. A novel scheme is proposed for the cascaded feedback controller which addresses practical requirements of both state limiting and control surface saturation respectively.
- Źródło:
-
Journal of Artificial Intelligence and Soft Computing Research; 2012, 2, 4; 317-330
2083-2567
2449-6499 - Pojawia się w:
- Journal of Artificial Intelligence and Soft Computing Research
- Dostawca treści:
- Biblioteka Nauki
Artykuł