A new hybrid control algorithm design and simulated for Longitude and latitude movements stabilization of nonlinear fixed-wing UAV
UAVs (Unmanned Aerial Vehicles) have enabled a number of new mission capabilities and are frequently used in many applications. There are a few sorts of UAVs configuration available in the market, but fix-wing UAVs is the most popular among them. It is mostly used in surveillance and rescue type a...
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Format: | Thesis |
Language: | English |
Published: |
Universiti Malaysia Perlis (UniMAP)
2019
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Online Access: | http://dspace.unimap.edu.my:80/xmlui/handle/123456789/61538 |
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Institution: | Universiti Malaysia Perlis |
Language: | English |
Summary: | UAVs (Unmanned Aerial Vehicles) have enabled a number of new mission
capabilities and are frequently used in many applications. There are a few sorts of
UAVs configuration available in the market, but fix-wing UAVs is the most popular among them. It is mostly used in surveillance and rescue type applications by militaries as well as business organizations .This makes UAV design and controlling as one of the
most sizzling subject for the researchers. The troublesome undertaking for the scientists in UAVs design is to develop its efficient control algorithm which makes UAV flight
settle under typical and instability or irritated conditions.
Like other UAVs, fix-wing UAVs are also non linear in nature and its
stabilization during flight is troublesome task. It has two major movements that are,
longitudinal and lateral movement, which must be control legitimately to make Fix
Wing UAV flight stable. There are several control techniques available that are used to
control its flight movements. These accessible control techniques have a few pros and
cons, and have their own working impediments. This research exploration deals with the
designing of control system for small size fixed-wing UAV to enhance the flight
performance under uncertainties condition. Generally these UAV countenances
unpredicted problems during flight such as, heavy wind gust, alter in wind current
course, sensors commotions or sensors noises. These impacts may float the UAV from
it sought direction and makes it unstable. The available traditional control techniques
are not robust enough to handle these perturbed circumstances. In this thesis a new
hybrid control algorithm is presented for longitudinal and lateral movements controlling
of small fixed-wing UAV. The proposed control technique is developed by joining the
PID algorithm with PD-LQG algorithm to stabilize the small fixed-wing UAV flight
under sensor noisy conditions and external disturbance circumstance. For verifying the
performance of proposed control strategy it is simulated on ‘Yardstick’ type small fixed
wing UAV. The simulation are performed and analyzed under different windy and noisy
conditions. MATLAB Simulink with its Aerosim block set is used to execute all the
simulation. The simulation results demonstrates that the proposed control technique
performed exceptionally well under perturbed conditions and its performance is much
better than available traditional algorithms under uncertainty conditions. |
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