The study on Design and Algorithm of Robot Control System

DOI

10.2991/icismme-15.2015.159How to use a DOI?

Keywords

Self-balancing robot; Data Fusion; Adaptive Fuzzy Control.

Abstract

The self-balancing robot sensor characteristics, proposed indirect Kalman filter algorithm based on a gyroscope and accelerometer data fusion, optimal inclination and angular velocity estimates. The steering system is decoupled into two subsystems forward. For forward subsystem has strong nonlinear, demonstrated the feasibility of the application of nonlinear systems based on approximate linearization, exact linearization and intelligent control of the control strategy.

Copyright

© 2015, the Authors. Published by Atlantis Press.

Open Access

This is an open access article distributed under the CC BY-NC license (http://creativecommons.org/licenses/by-nc/4.0/).

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TY  - CONF
AU  - Yao Jin
PY  - 2015/07
DA  - 2015/07
TI  - The study on Design and Algorithm of Robot Control System
BT  - Proceedings of the First International Conference on Information Sciences, Machinery, Materials and Energy
PB  - Atlantis Press
SP  - 763
EP  - 766
SN  - 1951-6851
UR  - https://doi.org/10.2991/icismme-15.2015.159
DO  - 10.2991/icismme-15.2015.159
ID  - Jin2015/07
ER  -