Flight Control System Design and Obstacles Avoidance for Quadcopter | ||||
| The International Undergraduate Research Conference | ||||
| Volume 6, Issue 6, September 2022, Page 1-5 PDF (1.14 MB) | ||||
| Document Type: Original Article | ||||
| DOI: 10.21608/iugrc.2022.302681 | ||||
 View on SCiNiTO | ||||
| Authors | ||||
| Esmaeel Mohamed Esmaeel; Ahmed soudy Abdalkhaliq; Mohamed Ayman Baiomy | ||||
| Military Technical College, Cairo, Egypt. | ||||
| Abstract | ||||
| 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. | ||||
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