Recently, unmanned aerial vehicle (e.g. quadcopter) has been used in many applications, e.g., search-and-rescue missions, because of its capabilities, e.g. vertical takeoff and landing. To achieve these missions, we need to design a suitable control system to stabilize and control quadcopter to track a desired flight trajectory. In this paper, we proposed a comparative simulation between a classical and optimal controllers implemented on a quadcopter model. Moreover, this paper discusses obstacles avoidance using path planning by Particle Swarm Optimization. Implementation of these linear controllers requires linearization the nonlinear quadcopter model around a steady state flight condition. The simulation results shows that the optimal controller LQR has an efficient performance compared to classical controller PID.
Esmaeel, E., Abdalkhaliq, A., & Baiomy, M. (2022). Flight Control System Design and Obstacles Avoidance for Quadcopter. The International Undergraduate Research Conference, 6(6), 1-5. doi: 10.21608/iugrc.2022.302681
MLA
Esmaeel Mohamed Esmaeel; Ahmed soudy Abdalkhaliq; Mohamed Ayman Baiomy. "Flight Control System Design and Obstacles Avoidance for Quadcopter", The International Undergraduate Research Conference, 6, 6, 2022, 1-5. doi: 10.21608/iugrc.2022.302681
HARVARD
Esmaeel, E., Abdalkhaliq, A., Baiomy, M. (2022). 'Flight Control System Design and Obstacles Avoidance for Quadcopter', The International Undergraduate Research Conference, 6(6), pp. 1-5. doi: 10.21608/iugrc.2022.302681
VANCOUVER
Esmaeel, E., Abdalkhaliq, A., Baiomy, M. Flight Control System Design and Obstacles Avoidance for Quadcopter. The International Undergraduate Research Conference, 2022; 6(6): 1-5. doi: 10.21608/iugrc.2022.302681
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