Design and control of an indoor micro quadrotor

By Samir Bouabdallah, Pierpaolo Murrieri, Roland Yves Siegwart. IEEE International Conference on Robotics and Automation, 2004. Proceedings. ICRA '04. 2004, 2004

952 citations recorded by the source corpus.

Subfields: Aerospace Engineering, Ocean Engineering

View Paper: https://www.semanticscholar.org/paper/e89469b5ac84037c22697933f7427888d95be287

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Citations in the corpus

PIXHAWK: A micro aerial vehicle design for autonomous flight using onboard computer vision (2012, methodology): “As the discrete Kalman filter contributes a smooth position and speed estimate with little phase delay, the controller can be designed as a standard PID controller implemented as four independent SISO PID controllers for x, y, z, and yaw, as in [6].”
Time-Varying Formation Tracking for Second-Order Multi-Agent Systems Subjected to Switching Topologies With Application to Quadrotor Formation Flying (2017, background): “Note that the height and the yaw angle of each quadrotor are not involved in the formation tracking and can be controlled separately [47].”
Modeling and PD Control of a Quadrotor VTOL Vehicle (2007, background): “S. Bouabdallah et. al. mechanically designed, dynamically modeled and used nonlinear control techniques in their works [18, 19].”
Flight PID controller design for a UAV quadrotor (2010, background): “Many groups (Pounds et al., 2002; Altug et al., 2003; Bouabdallah et al., 2004; Dzul et al., 2004) have seen significant success in developing autonomous quadrotor vehicles.”
Reinforcement Learning for UAV Attitude Control (2018, background): “For further details about the mathematical models of quadcopter dynamics please refer to [13].”
A survey of quadrotor Unmanned Aerial Vehicles (2012, background): “Various control structures ranging from basic PID controllers [15, 27, 62] to more complex systems using backstepping or neural networks [16, 26, 46] have proved to be efficient.”
design and control of quadrotors with application to autonomous flying (2007, methodology): “3 Modelling with Newton-Euler Formalism This simulation model was developed through some successive steps as presented in papers [2, 4, 19].”
Full control of a quadrotor (2007, methodology): “The main result was an autonomous hover flight presented in [7].”
Super twisting control algorithm for the attitude tracking of a four rotors UAV (2012, background): “But the trend of escalating performance, the increasing manoeuvrability, the unpredictable changes in the environment, the stronger dynamic coupling and nonlinearities necessitate more sophisticated control systems [3].”
Real-time indoor autonomous vehicle test environment (2008, background): “where −(JR/Ix)qd and −(JR/Iy)rd represent the disturbances caused by changing rotor speeds (as discussed in [37]), although the gyroscopic effects due to these disturbances for the Draganflyer [30] model are small.”
Multirotor Aerial Vehicles: Modeling, Estimation, and Control of Quadrotor (2012, methodology): “From a linguistic perspective, since the prefix quad is Latin, the term quadrotor is more correct than quadcopter and more common than tetracopter; hence, we use the term quadrotor throughout.”
Adaptive Control of Quadrotor UAVs: A Design Trade Study With Flight Evaluations (2013, background): “The dynamics of quadrotor helicopters have been studied in detail by several groups [3], [4].”
Vision-Controlled Micro Flying Robots: From System Design to Autonomous Navigation and Mapping in GPS-Denied Environments (2014, background): “The function principle of quadrotors can be found in [5], [6].”
Integral sliding mode control of a quadrotor with fractional order reaching dynamics (2011, background): “The problem of quadrotor control is a good test bed to demonstrate the merits and effectiveness of novel control schemes, see Bouabdallah et al. (2004), Bouabdallah and Siegwart (2005), Castillo et al. (2005), Tayebi and McGilvray (2006), Xu and Özgüner (2008) and the references therein.”