Nonlinear Dynamic Inversion and Neural Networks for a Tilt Tri-Rotor UAV
نویسندگان
چکیده
منابع مشابه
A Nonlinear Control Law for Hover to Level Flight for the Quad Tilt-rotor UAV
This paper presents recent advances in the project: development of a convertible unmanned aerial vehicle (UAV). This aircraft is able to change its flight configuration from hover to level flight and vice versa by means of a transition maneuver, while maintaining the aircraft in flight. For this purpose a nonlinear control strategy based on Lyapunov design is given. Numerical results are presen...
متن کاملDynamic Sliding Mode Control of Nonlinear Systems Using Neural Networks
Dynamic sliding mode control (DSMC) of nonlinear systems using neural networks is proposed. In DSMC the chattering is removed due to the integrator which is placed before the input control signal of the plant. However, in DSMC the augmented system is one dimension bigger than the actual system i.e. the states number of augmented system is more than the actual system and then to control of such ...
متن کاملFuzzy-Based Hybrid Control Algorithm for the Stabilization of a Tri-Rotor UAV
In this paper, a new and novel mathematical fuzzy hybrid scheme is proposed for the stabilization of a tri-rotor unmanned aerial vehicle (UAV). The fuzzy hybrid scheme consists of a fuzzy logic controller, regulation pole-placement tracking (RST) controller with model reference adaptive control (MRAC), in which adaptive gains of the RST controller are being fine-tuned by a fuzzy logic controlle...
متن کاملQuad-Rotor UAV: High-Fidelity Modeling and Nonlinear PID Control
Quad-rotor helicopter is an Unmanned Aerial Vehicle (UAV), whose lift is generated by four rotors located on the corner of X-shape. Due to simplicity of its dynamics and its ability to hover, quadrotor helicopter becomes as a popular platform for UAV. Current designs mostly consider a linear model for controller design. In this paper, we derivate nonlinear dynamic equations of the quadrotor UAV...
متن کاملA DSS-Based Dynamic Programming for Finding Optimal Markets Using Neural Networks and Pricing
One of the substantial challenges in marketing efforts is determining optimal markets, specifically in market segmentation. The problem is more controversial in electronic commerce and electronic marketing. Consumer behaviour is influenced by different factors and thus varies in different time periods. These dynamic impacts lead to the uncertain behaviour of consumers and therefore harden the t...
متن کاملذخیره در منابع من
با ذخیره ی این منبع در منابع من، دسترسی به آن را برای استفاده های بعدی آسان تر کنید
ژورنال
عنوان ژورنال: IFAC-PapersOnLine
سال: 2015
ISSN: 2405-8963
DOI: 10.1016/j.ifacol.2015.08.077