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Fuzzy Control Strategy for a Hexapod Robot Walking on an Incline

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Abstract

In this paper, the fuzzy control strategy for a hexapod robot walking on an incline is proposed. In order to maintain the vertical projection of the center of gravity (COG) remaining in the support pattern, the robot’s posture is adjusted by a fuzzy controller depending on the slope of incline. At first, Denavit–Hartenberg convention is applied to calculate the positions of motors and end points of legs. When the robot is walking on an incline, a rotation matrix, which can be acquired by an inertial measurement unit settled on the center of robot’s body, is required to obtain the vertical projection of COG. Then, the fuzzy controller is designed to adjust the angles of motors for supporting legs such that the vertical projection of COG approaches the COG of support polygon. Finally, several experiments are implemented by a hexapod robot to demonstrate the effectiveness of the proposed fuzzy control strategy.

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Acknowledgements

We would like to thank Ministry of Science and Technology in Taiwan for its support to the Project: MOST 104-2221-E-008-054-MY3.

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Authors and Affiliations

  1. Department of Electrical Engineering, National Central University, Jhongli, 32001, Taiwan

    Wen-June Wang & Hao-Gong Chou

  2. Department of Electrical Engineering, National Taipei University, Taipei, 23741, Taiwan

    Ying-Jen Chen

  3. Department of Electronic Engineering, National Ilan University, Yilan, 26047, Taiwan

    Ruei-Chang Lu

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  1. Wen-June Wang
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  2. Hao-Gong Chou
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  4. Ruei-Chang Lu
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Correspondence to Ying-Jen Chen.

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Wang, WJ., Chou, HG., Chen, YJ. et al. Fuzzy Control Strategy for a Hexapod Robot Walking on an Incline. Int. J. Fuzzy Syst. 19, 1703–1717 (2017). https://doi.org/10.1007/s40815-017-0319-9

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  • DOI: https://doi.org/10.1007/s40815-017-0319-9

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