Develop hardware-agnostic control algorithms and perform 3D simultaneous localization and mapping (SLAM), path planning, and trajectory generationwith native quaternion support.Co-simulate your UAV applications by connecting directly to simulators like Gazebo and Unreal Engine.Simulate common UAV sensorssuch as GPS, IMU, INS, and Altimeter.Communicate with the platform using the Robot Operating System (ROS)and MAVLink.Connect to and control UAVs and their components from MATLAB and Simulink.Unmanned aerial vehicle (UAV) engineers and scientists use MATLAB and Simulink to design and tune control systems and platform-agnostic intelligence, surveillance, and reconnaissance (ISR) mission algorithms, model real-world systems, then automatically generate and verify the code – all from one software environment. Perform verification and validation, and certify to safety standards.Automatically generate optimized code to microprocessors and FPGA.Design and troubleshoot fault detection, isolation, and recovery logic.Use prebuilt tools to automatically tune multivariable controllers (7:52) and leverage advanced control strategies, such as model predictive control and robust control.Model the whole vehicle and its subsystems.Get started and build plant models faster with multiple examples of flight controls, 6-DoF, environment models, and vehicle models such as the NASA HL-20.MATLAB and Simulink allow control engineers to: Accelerate the development cycle by making it easier to design for different scenarios and platform configurations, test with hardware-in-the loop, and qualify control logic to safety standards like DO-178C – all within the same environment. Satisfy industry safety standards like DO-178C, DO-254, and ARP-4754ĭesign and test safety-critical control systems through simulation before automatically generating code that is then integrated into the physical platform. ![]() Simulate the system composition to verify system-level behavior. ![]()
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