Application of OPC in the Intelligent Building System Integration

Chen, Jie; Sun, Xiuli; Jia, Ruiyuan

doi:10.2991/iccasm.2012.128

Cited by 1 publication

(1 citation statement)

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“…Among these, the thrust force generated by motors and blades is essential in achieving mobility and needs to be considered first. The static thrust calculation [30] of the propeller blades is shown as follows: …”

Section: The Design Of the Hybrid Robotmentioning

confidence: 99%

The development of a novel terrestrial/aerial robot: autonomous quadrotor tilting hybrid robot

Zhang,

Xu,

Zhu

et al. 2023

Robotica

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Unmanned aerial vehicles (UAVs) possess fast-moving abilities and have been used in various tasks in the past decades. However, their performances are still restricted by insufficient endurance and confined environments. Intuitively, combining other locomotion modes with UAVs, such as diving and driving, would be an appropriate idea to improve the robot’s adaptability and solve the endurance problem. Recently, the terrestrial/aerial hybrid robots have drawn the researchers’ eyes for their outstanding performances, which can deploy flight mode to traverse insurmountable terrains and ground mode to increase endurance and realize detailed searches. Therefore, this paper developed the autonomous quadrotor tilting hybrid robot (AQT-HR) to achieve terrestrial/aerial dual-modal mobility and verified that the robot delivers high energy efficiency. The AQT-HR can achieve flying and driving through a quadrotor tilting mechanism, which can alter one single driving force into different directions. Furthermore, the dynamic models of the hybrid robot’s aerial and ground locomotion are derived and introduced into the model-feedforward PID control algorithm for improving the robot’s flying stability. Finally, we conducted some mobility tests and experiments about traversing obstacles to demonstrate that the proposed hybrid robot can realize autonomous mode switching and perform a low energy consumption in ground movement mode.

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Section: The Design Of the Hybrid Robotmentioning

confidence: 99%