Accelerometer for mobile robot positioning

An evaluation of a low-cost, small sized solid state accelerometer is described in this paper. The sensor is intended for positioning of a mobile robot or platform. The acceleration signal outputted by the sensor is doubly integrated with time which yields the traveled distance. Bias offset drift exhibits in the acceleration signal is accumulative and the accuracy of the distance measurement deteriorates with time due to the integration. A Kalman filter is used to reduce errors caused by random noises. The random bias drift of the accelerometer was found by experiment to be 2.5 mg. The accelerometer was moved back and forth three times for a distance of 40 cm with an acceleration of 8 m/s/sup 2/. The final distance error accumulated was -1.08 cm. The bias drift rate due to temperature was 0.108 /spl mu/g/s when the accelerometer was placed at room temperature. The results show that the accelerometer could be a viable solution as a short duration distance-measuring device for a mobile robot or platform.

[1]  Hugh F. Durrant-Whyte,et al.  An inertial navigation system for a mobile robot , 1993, Proceedings of 1993 IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS '93).

[2]  D. Powell,et al.  Land-vehicle navigation using GPS , 1999, Proc. IEEE.

[3]  Hugh F. Durrant-Whyte,et al.  Inertial navigation systems for mobile robots , 1995, IEEE Trans. Robotics Autom..

[4]  Peter I. Corke,et al.  Experiments in autonomous underground guidance , 1997, Proceedings of International Conference on Robotics and Automation.

[5]  A. A. Soloviev,et al.  Accelerometer based gyro-free multi-sensor generic inertial device for automotive applications , 1997, Proceedings of Conference on Intelligent Transportation Systems.

[6]  N. Barbour,et al.  Micromachined inertial sensors for vehicles , 1997, Proceedings of Conference on Intelligent Transportation Systems.

[7]  Alonzo Kelly Modern Inertial and Satellite Navigation Systems , 1994 .

[8]  C. Lemaire Surface micromachined sensors for vehicle and personal navigation systems , 1997, Proceedings of Conference on Intelligent Transportation Systems.

[9]  Guanrong Chen,et al.  Introduction to random signals and applied Kalman filtering, 2nd edn. Robert Grover Brown and Patrick Y. C. Hwang, Wiley, New York, 1992. ISBN 0‐471‐52573‐1, 512 pp., $62.95. , 1992 .

[10]  R. Leonardson,et al.  SiMMA/sup TM/ accelerometer for inertial guidance and navigation , 1998, IEEE 1998 Position Location and Navigation Symposium (Cat. No.98CH36153).

[11]  J-S Cho Gil DESIGN OF A LOW-COST INERTIAL NAVIGATION SYSTEM WITH GPS FOR CAR NAVIGATION SYSTEM , 1998 .

[12]  Roberto Horowitz,et al.  Integrated micro-electro-mechanical sensor development for inertial applications , 1998, IEEE 1998 Position Location and Navigation Symposium (Cat. No.98CH36153).

[13]  Anthony Lawrence,et al.  Modern Inertial Technology , 1993 .

[14]  Jeffrey T. Borenstein,et al.  Performance of MEMS inertial sensors , 1998, IEEE 1998 Position Location and Navigation Symposium (Cat. No.98CH36153).

[15]  P. Lucas,et al.  Inertial navigation system for mobile land vehicles , 1995, 1995 Proceedings of the IEEE International Symposium on Industrial Electronics.

[16]  M. Helsel,et al.  A navigation grade micro-machined silicon accelerometer , 1994, Proceedings of 1994 IEEE Position, Location and Navigation Symposium - PLANS'94.

[17]  Christopher Verplaetse,et al.  Inertial Proprioceptive Devices: Self-Motion-Sensing Toys and Tools , 1996, IBM Syst. J..