Multi UAV and Geometrical Shape Trajectory Planning Using PD Controller
Keywords:
micro unmanned aerial vehicle(muav), group trajectories, chance selected, PD controller, MATLABAbstract
The field of developing multiple UAV trajectories for surveillance and task orientation presents a captivating area of inquiry. A comprehensive study is made here for developing groups of geometrical trajectories for quadrotor, which are tailored to the unique capabilities of micro unmanned aerial vehicles (mUAVs). The meticulously designed routes are randomly selected to overcome the chance of encounters. A quadrotor's behaviour is derived from Newton's laws and Euler's equations and simulations performed in MATLAB. Multiple trajectories for multiple quadrotors in simulation customised the flight paths for clusters of geometric shapes. A code is developed for the designed routes, which are selected randomly to eliminate collisions. The mUAVs successfully navigated the designated paths and effortlessly revert to the original locations utilizing a PD (Proportional-Derivative) controller. The intricate dynamics of a solitary mUAV are considered to replicate other mUAVs in a proficient manner ensuring the specific optimal distance.
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