Using Model Predictive Control (MPC), this project simulates an autonomous passenger sized quadcopter flying in 3-D space between Berkeley, San Francisco, and Palo Alto. Specifically, the UAV aims to travel between destinations at a constant velocity while minimizing input power for a predefined trajectory. Furthermore, the UAV is constrained to fly within a virtual tube, limiting the UAV’s displacement from the reference trajectory.
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This project simulates an autonomous quadcopter flying in 3-D space between Berkeley, San Francisco, and Palo Alto using Model Predictive Control (MPC).
shaspitz/drone-mpc
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This project simulates an autonomous quadcopter flying in 3-D space between Berkeley, San Francisco, and Palo Alto using Model Predictive Control (MPC).
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