Title :
Instrumentation and wireless control for the self-balancing mobile robot on two wheels
Author :
Bonales Valencia, J. Alberto ; Rincon Pasaye, J. Juan ; Gonzalez Bernai, Renato
Author_Institution :
Fac. de Ing. Electr., Univ. Michoacana de San Nicolas de Hidalgo, Morelia, Mexico
Abstract :
This paper describes a self-balancing mobile robot and their principal features as materials of construction, instrumentation, data communication and control. This kind of robots are an excellent platform for testing different techniques of control due to characteristics of the system (unstable, underactuated). The 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 Kaiman 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. For send and receive data was used a blue-tooth module in order manage data via wireless communication.
Keywords :
Bluetooth; Kalman filters; accelerometers; data communication; feedback; gyroscopes; measurement errors; mobile robots; wheels; Kalman filter techniques; accelerometer-gyro pair; antiwind up controller; bluetooth module; data communication; feedback; instrumentation; measurement noise; self-balancing mobile robot; sensor discrete state model; tilt measurement; two-wheeled self-balancing vehicle; wireless communication; wireless control; Accelerometers; Kalman filters; Mathematical model; Noise; Prototypes; Vehicles; Wireless communication; Accelerometer; Control; Gyro; Kalman Filter; Measurement; Wireless Communication;
Conference_Titel :
Power, Electronics and Computing (ROPEC), 2014 IEEE International Autumn Meeting on
Conference_Location :
Ixtapa
DOI :
10.1109/ROPEC.2014.7036310