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Research on Control Method of Two-wheeled Self-balancing Robot

机译:两轮自平衡机器人控制方法研究

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Based on Newton dynamics mechanics theory make a study of two-wheeled self-balancing robot, a detailed mathematical model of the modeling process is provided, and then, using the reasonable method, a linear state-space equations is built up. After that, the LQR controller and state-feedback controller based on pole placement theory are both designed. After a number of simulation experiments, we get the best closed-loop poles and Q, R matrix, both of which have good simulation curves at the same disturbance force. The results of experiments prove that both of them have good dynamic performance and robustness, which also prove the system modeling and controller design are reasonable and effective via these methods. The curves from LQR controller have a better dynamic performance compare with pole placement state-feedback controller.
机译:基于牛顿动力学理论进行了对两轮自平衡机器人的研究,提供了建模过程的详细数学模型,然后使用合理的方法,建立了线性状态空间方程。之后,设计基于极点放置理论的LQR控制器和状态反馈控制器。经过多次仿真实验后,我们得到最好的闭环极和Q,R矩阵,两者都具有相同的干扰力的良好模拟曲线。实验结果证明,这两者都具有良好的动态性能和稳健性,这也证明了系统建模和控制器设计通过这些方法是合理且有效的。来自LQR控制器的曲线与杆放置状态反馈控制器相比具有更好的动态性能。

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