Title :
Tilt measurement based on an Accelerometer, a Gyro and a Kalman Filter to control a self-balancing vehicle
Author :
Rincon Pasaye, J. Juan ; Bonales Valencia, J. Alberto ; Jimenez Perez, Felix
Author_Institution :
Fac. de Ing. Electr., Univ. Michoacana de San Nicolas de Hidalgo, Morelia, Mexico
Abstract :
This paper describes tilt measurement by means of an Accelerometer-Gyro pair to control a two-wheeled, self-balancing vehicle. The use of accelerometers and gyros to measure tilt angle is well known to entail high levels of unwanted signals of high and low frequency, thus the filter techniques are essential for their improvement. The Kalman Filter decrease measurement noise through the sensors discrete state model. The tilt measurement is feedback to a PID with anti-wind up controller which maintains the balance of the vehicle.
Keywords :
Kalman filters; accelerometers; angular measurement; gyroscopes; three-term control; vehicle dynamics; Kalman filter; PID; accelerometer-gyro pair; anti-wind up controller; discrete state model; filter techniques; measurement noise; tilt angle; tilt measurement; two-wheeled self-balancing vehicle; unwanted signals; Accelerometers; Equations; Kalman filters; Mathematical model; Noise; Pollution measurement; Vehicles; Accelerometer; Control; Gyro; Kalman Filter; Measurement;
Conference_Titel :
Power, Electronics and Computing (ROPEC), 2013 IEEE International Autumn Meeting on
Conference_Location :
Mexico City
DOI :
10.1109/ROPEC.2013.6702711