2004 IEEE International Conference on Industrial Technology, 2004. IEEE ICIT '04.
DOI: 10.1109/icit.2004.1490796
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Neural network based control of a four rotor helicopter

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Cited by 52 publications
(17 citation statements)
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“…In order to compensate the Coriolis and gyroscopic torques, they used PD and PD 2 controllers. Dunfied et al (2004) developed an artificial neural network based controller to take-off, hover, and land. Guenard et al (2005) proposed the use of an intuitive strategy based controller for taking-off and landing.…”
Section: Quadrotorsmentioning
confidence: 99%
“…In order to compensate the Coriolis and gyroscopic torques, they used PD and PD 2 controllers. Dunfied et al (2004) developed an artificial neural network based controller to take-off, hover, and land. Guenard et al (2005) proposed the use of an intuitive strategy based controller for taking-off and landing.…”
Section: Quadrotorsmentioning
confidence: 99%
“…The first type is shown in [12], which neglected the air friction and the gyroscopic effects resulting from both the rigid body rotation and the propellers rotation. The second type neglected the gyroscopic effect resulting from the four propellers rotation [5,9,[13][14][15]. The third type ideally included the gyroscopic effects resulting from both the rigid body rotation in space and the four propellers' rotation [3,4,8,16,17].…”
Section: Introductionmentioning
confidence: 99%
“…Suter et al also studied on image based visual servo control for quadrotors [9]. Dunfied et al created a neural networks controller for a quadrotor [10]. Earl et al used a Kalman filter to estimate the attitude of a quadrotor [11].…”
Section: Introductionmentioning
confidence: 99%