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Design and simulate of LQR-Fuzzy controller for unicycle robot with double flywheels

Surachat Chantarachit

Year
2018
Citations
5
Access
Open access

Abstract

This research is focus on design and simulate unicycle robot with double flywheels model with LQR-Fuzzy controller. Roll balancing torque is generated by gyroscopic effect. Pitch balancing torque is applied by inverted pendulum concept. To control the heading of the robot, the angular momentum from both flywheel is applied to control this. The robot model is based on Euler-Lagrange equations. The non-linear model is linearization by Taylor series expansion. The simulation results conducted by MATLAB/Simulink. LQR-Fuzzy is combination algorithm between LQR and Fuzzy controller. The main structure control is the LQR controller and use the Fuzzy controller to adjust the close loop controller gain. The simulation results is simulated and compared with conventional LQR.

Keywords

Control theory (sociology)FlywheelController (irrigation)Fuzzy logicTorqueLinear-quadratic regulatorFuzzy control systemMATLABComputer scienceEngineering

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