Design of fuzzy logic controller for two-wheeled self-balancing robot

Junfeng Wu, Wanying Zhang
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引用次数: 52

Abstract

Two-wheeled self-balancing robot is a high order, multiple-variables, non-linear, strong coupling, and instability system. On the basis of building up the system structure model, kinetic equation is built up by using Newton dynamics mechanics theory. After that, the pole placement state-feedback controller and fuzzy logic controller are both designed, both of which have good simulation curves at the same disturbance force. Finally, some simulation experiments be done in the undisturbed and disturbed environment respectively. The simulation results indicate that the fuzzy logic control algorithm can realize the self-balance control of the two-wheeled robot successfully and restrain the robot from falling down, so as to satisfy the anticipated control goals of the robot and obtain the better dynamic performance, so it has the better theory value and the applied research value.
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两轮自平衡机器人模糊控制器的设计
两轮自平衡机器人是一个高阶、多变量、非线性、强耦合、不稳定的系统。在建立系统结构模型的基础上,运用牛顿动力学力学理论建立了系统的动力学方程。然后设计了极点放置状态反馈控制器和模糊逻辑控制器,两者在相同扰动力下都具有良好的仿真曲线。最后,分别在无干扰和有干扰的环境下进行了仿真实验。仿真结果表明,模糊逻辑控制算法能够成功地实现两轮机器人的自平衡控制,抑制机器人的跌落,既满足了机器人的预期控制目标,又获得了较好的动态性能,具有较好的理论价值和应用研究价值。
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