Gyro sensor drift compensation by Kalman filter to control a mobile inverted pendulum robot system

Proceedings of the IEEE International Conference on Industrial Technology

Volumn , Issue , 2009, Pages

  Lee, Hyung Jik ^a   Jung, Seul ^a  

^a Chungnam National University   (South Korea)

Author keywords

Complementary filter; Gyro drift; Inverted pendulum; Kalman filter

Indexed keywords

COMPLEMENTARY FILTER; COMPLIMENTARY FILTERS; ESTIMATION METHODS; EXPERIMENTAL STUDIES; FREQUENCY RESPONSE CHARACTERISTIC; GYRO DRIFT; GYRO SENSORS; INVERTED PENDULUM; LOW-COST SENSORS; MOBILE INVERTED PENDULUM; ROBOT SYSTEM; SENSOR FUSION; TILT SENSOR;

CONTROL THEORY; FREQUENCY RESPONSE; GYROSCOPES; KALMAN FILTERS; PENDULUMS; ROBOTS; SENSORS;

HIGH PASS FILTERS;

EID: 67650330020     PISSN: None     EISSN: None     Source Type: Conference Proceeding    
DOI: 10.1109/ICIT.2009.4939502     Document Type: Conference Paper

References (12)

1. "Segway." , http://www.segway.com
2. F. Grasser, A. D'Arrigo, S. Colmbi, Alfred C. Rufer, "JOE:A Mobile, Inverted Pendulum", IEEE Trans. On Industrial Electronics, Vol. 49, No. 1, pp. 107-114, 2002,
3. Pathak, Kaustubh. Franch, Jaume. Agrawal, Sunil K, "Velocity Control of a Wheeled Inverted Pendulum by Partial Feedback Linearization", IEEE Conference on Decision and Control, pp. 3962-3967, 2004
4. Scott M. Boskovich, "A Two wheeled Robot Control system", IEEE WESCON 1995
5. Ryoko Imaumra, Toshinobu Takei, Shin'ichi Yuta, "Sensor Drift Compensation and Cotrol of a Wheeled Inverted Pendulum Mobile Robot", IEEE International Workshop on Advance Motion Contro', pp.137-142, 2008
6. S. H. Jeong and T. Takayuki "Wheeled Inverted Pendulum Type Assistant Robot:Design Concept and Mobile Control", IEEE IROS, pp. 1932-1937, 2007
7. K. Sasaki and T. Murakami, "Pushing operation by two-wheel inverted mobile manipulator", IEEE Workshop on Advanced Motion Control, pp. 33-37, 2008
8. P. K. Abeygunawardhana and M. Toshiyuki, "Environmental interaction of two wheeled mobile manipulator by using reaction torque observer", IEEE Workshop on Advanced Motion Control, pp. 348-353, 2008
9. R. Imamura, T. Takei, and S. Yuta, "Sensor drift compensation and control of a wheeled inverted pendulum mobile robot", IEEE Workshop on Advanced Motion Control, pp. 137-142, 2008
10. Sungsu Kim and Seul Jung, "Control experiment of a wheel-driven mobile inverted pendulum using neural network", IEEE Trans. On Control Systems Technology, vol. 16, no. 2, pp. 297-303, 2008
11. Baerveldt A.-J. and Klang R., "A low-cost and low-weight attitude estimation system for an autonomous helicopter", IEEE international conference on intelligent engineering systems, pp. 391-395, 1997
12. Chen Xiyuan, "Modeling Random Gyro Drift by Time Series neural networks and by traditional method", IEEE Int. Conf. Neural Networks & Signal Processing, pp. 810-813, 2003