Precision improvement of MEMS gyros for indoor mobile robots with horizontal motion inspired by methods of TRIZ

In the paper, the problem of precision improvement for the MEMS gyrosensors on indoor robots with horizontal motion is solved by methods of TRIZ ("the theory of inventive problem solving").

[1]  Harvey Weinberg Gyro Mechanical Performance: The Most Important Parameter , 2011 .

[2]  Naser El-Sheimy,et al.  Error modeling and characterization of environmental effects for low cost inertial MEMS units , 2010, IEEE/ION Position, Location and Navigation Symposium.

[3]  Sung Kyung Hong,et al.  Minimal-Drift Heading Measurement using a MEMS Gyro for Indoor Mobile Robots , 2008, Sensors.

[4]  Billur Barshan,et al.  Evaluation of a solid-state gyroscope for robotics applications , 1992 .

[5]  Quang M. Lam,et al.  Gyro Modeling and Estimation of Its Random Noise Sources , 2003 .

[6]  Surat Kwanmuang,et al.  Heuristic reduction of gyro drift in IMU-based personnel tracking systems , 2009, Defense + Commercial Sensing.

[7]  Quang M. Lam,et al.  Enhancing attitude estimation accuracy via system noise optimization , 2004, SPIE Defense + Commercial Sensing.

[8]  Johann Borenstein,et al.  Heuristic Drift Elimination for Personnel Tracking Systems , 2010, Journal of Navigation.

[9]  Wei Qin,et al.  An Integrated MEMS Gyroscope Array with Higher Accuracy Output , 2008, Sensors.

[10]  Johann Borenstein,et al.  Precision calibration of fiber-optics gyroscopes for mobile robot navigation , 2000, Proceedings 2000 ICRA. Millennium Conference. IEEE International Conference on Robotics and Automation. Symposia Proceedings (Cat. No.00CH37065).

[11]  Johann Borenstein,et al.  Heuristics-enhanced dead-reckoning (HEDR) for accurate position tracking of tele-operated UGVs , 2010, Defense + Commercial Sensing.

[12]  Xuefeng Peng,et al.  Fuzzy Heuristic Reduction of Gyro Drift in Gyro-Based Mobile Robot Tracking , 2009, 2009 International Conference on Information Engineering and Computer Science.

[13]  Johann Borenstein,et al.  Heuristic reduction of gyro drift in vehicle tracking applications , 2009 .

[14]  Johann Borenstein,et al.  Sensor fusion for mobile robot dead-reckoning with a precision-calibrated fiber optic gyroscope , 2001, Proceedings 2001 ICRA. IEEE International Conference on Robotics and Automation (Cat. No.01CH37164).

[15]  J. Borenstein,et al.  Heuristic Reduction of Gyro Drift for Personnel Tracking Systems , 2009 .

[16]  Rumen Arnaudov,et al.  Improvement in the Method for Bias Drift Compensation in Micromechanical Gyroscopes , 2005 .

[17]  Naser El-Sheimy,et al.  A New Autoregressive Error Modeling Method Based on Wavelet Decomposition for MEMS Inertial Sensors , 2009 .

[18]  Katsub Yonezawa Reduced-order Kalman filtering with incomplete observability , 1980 .

[19]  Sung Kyung Hong,et al.  Heading Measurements for Indoor Mobile Robots with Minimized Drift Using a MEMS Gyroscopes , 2010 .

[20]  Q.M. Lam,et al.  Precision Attitude Determination Using a Multiple Model Adaptive Estimation Scheme , 2007, 2007 IEEE Aerospace Conference.