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

机译:双飞轮独轮机器人LQR-模糊控制器的设计与仿真

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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.
机译:这项研究的重点是利用LQR-Fuzzy控制器设计和仿真具有双飞轮模型的独轮车机器人。陀螺效应产生侧倾平衡扭矩。节距平衡扭矩通过倒立摆概念施加。为了控制机器人的前进方向,使用两个飞轮的角动量来控制它。机器人模型基于Euler-Lagrange方程。非线性模型是通过泰勒级数展开来线性化的。仿真结果由MATLAB / Simulink进行。 LQR-Fuzzy是LQR和Fuzzy控制器之间的组合算法。主要结构控制是LQR控制器,并使用Fuzzy控制器来调节闭环控制器增益。仿真结果进行了仿真,并与常规LQR进行了比较。

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