Implementation of a PID-based partially stabilized control system for the X4-Flyer
Added Title
Annual Conference on Mechatronics and Machine Vision in Practice (12th : 2005)
College
College of Computer Studies
Department/Unit
Computer Technology
Document Type
Conference Proceeding
Source Title
12th Annual Conference on Mechatronics and Machine Vision in Practice, M2VIP 2005
First Page
78
Last Page
84
Publication Date
12-12-2005
Abstract
The X4-Flyer, sometimes referred to as a Quadrotor, is a four-rotor aircraft with an X-shaped airframe capable of interrelated pitch, yaw and roll maneuverability. Current research has focused on mathematical models of the dynamics offered by the unique airframe as well as control systems targeted at providing the craft with dynamic and stationary stability. Despite the growing body of research, there is very little information on actual controller implementations. The modelling and the implementation details of a Proportional-Integral-Differential (PID) control system achieving short-term quasi-stationary hover capabilities is shown in this paper. Three semiconductor inertial gyroscopes provide the necessary feedback to the controller in the system. Due to vibration transmissions from the rotor motors to the centrally-located controller, large amounts of noise buries important small-scale sensor information. The control system uses a combination of electronic amplification, Finite-Impulse Response filtering and averaging to achieve the necessary signal conditioning and sensitivity for the feedback to be effective. The controller settles within 2.5 seconds when perturbed by a slight tipping of the motor body in quasi-stationary hover. An oscillatory body rotation error limited by the controller to two to three degrees at a frequency of 1/10th Hertz was observed.
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Recommended Citation
Campos, K., Ong, C., Refuerzo, A., Tamondong, J., & Yap, K. (2005). Implementation of a PID-based partially stabilized control system for the X4-Flyer. 12th Annual Conference on Mechatronics and Machine Vision in Practice, M2VIP 2005, 78-84. Retrieved from https://animorepository.dlsu.edu.ph/faculty_research/3210
Disciplines
Artificial Intelligence and Robotics
Keywords
Autonomous robots; Mobile robots; Robotics
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