Smart Filter Design for the Localization of Robotic Fish Using MEMS Accelerometer
This paper presents the design of smart filter for the 2D localization of robotic fish using low-cost MEMS (Micro-Electro Mechanical System) accelerometer. The main purpose of the paper is to minimize the drift error that is inevitable in the double integration process in accelerometer-only navigation system. The proposed approach relies on two parts: 1) an effective calibration method to remove the major part of the deterministic sensor errors and, 2) a novel smart filtering scheme based on fuzzy-logic in order to accurately estimate a 2D position with an accelerometer triad. In addition, we compare the results of the fuzzy logic based on 2D position estimation system with simulation result from a conventional Kalman Filter.
Keywordsrobotic fish 2D position estimation MEMS inertial sensor calibration fuzzy filter
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- 1.Hegrenaes, O., Berglund, E., Hsllingstad, O.: Model-aided Inertial navigation for underwater vehicles. In: Proceedings of the IEEE International Conference on Robotic and Automation, PASADENA, pp. 1069–1076 (2008)Google Scholar
- 2.Yoo, T.S., Hong, S.K., Yoon, H.M., Park, S.S.: Gain scheduled complementary filter design for a MEMS based attitude and heading reference system, vol. 11, pp. 3816–3830 (2011)Google Scholar
- 6.Miniature Attitude Heading Reference System (AHRS) with GPS, 3DM-GX3-35; Micro strain: 459 Hurricane Lane, Suite 102, Williston, VT 05495 USA (2011)Google Scholar
- 7.Win, T.L., Kalyana, C.V., Wei, T.A.: Drift-free position estimation of periodic or quasi-periodic motion using inertial sensors, vol. 11, pp. 5931–5951 (2011)Google Scholar
- 9.Hong, S.K.: A Fuzzy Logic based Performance Augmentation of MEMS Gyroscope. Journal of Intelligent & Fuzzy Systems 19(6), 393–398 (2008)Google Scholar