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Riderless bicycle with gyroscopic balancer controlled by FSMC and AFSMC

机译:有fsmc和afsmc控制的陀螺仪平衡器的圆形自行车

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A Riderless bicycle has been developed with a gyroscopic balancer controller by a Fuzzy Sliding Mode Controller (FSMC) and an Adaptive Fuzzy Sliding Mode Controller (AFSMC). The FSMC controller was first implemented because it has better performance on controlling nonlinear systems than the one with PID control. The FSMC can also reduce the chattering phenomenon caused by SMC and the effect of linearizing a nonlinear system. Compared with other balancers, the gyroscopic balancer has a couple of advantages, such as faster system response, lower mass ratio of balancer to bicycle and relatively larger moment. To demonstrate the attributes stated above, we designed and conducted experiments, including the balancing of unmoving bicycle, unmoving bicycle with external impacts, as well as the bicycle moving forward and turning. The experimental results show that the bicycle can overcome jolts, uneven terrain and external disturbances. Furthermore, since the results of experiments are consistent with the ones of the simulation, it validates the derived bicycle dynamics model with the gyroscopic balancer and proves its robustness. However, the system's ability to resist continuous disturbance is not strong enough because of the limitation on the tilt angle of the gyroscopic balancer. Hence, we modified the control strategy by using AFSMC despite the fact that the FSMC performed better than PID control. From the simulations in Section IV, it shows that the AFSMC has better performance at resisting continuous disturbances than FSMC does. Furthermore, the abilities to balance the unmoving bicycle or moving bicycle are no less than FSMC. Thus, the AFSMC is employed to replace the FSMC. The designs of adaptive law and estimation law of AFSMC are based on the Lyapunov function to ensure the stability of the system. Experiments of the bicycle controlled by AFSMC are currently being conducted.
机译:通过模糊滑动模式控制器(FSMC)和自适应模糊滑模控制器(AFSMC),通过陀螺仪平衡器控制器和自适应模糊滑模控制器(AFSMC)开发了一种圆形自行车。首先实现了FSMC控制器,因为它在控制非线性系统方面具有比具有PID控制的系统更好的性能。 FSMC还可以减少由SMC引起的抖动现象以及线性化非线性系统的效果。与其他平衡器相比,陀螺平衡器具有几个优点,例如更快的系统响应,平衡器与自行车的质量比较和相对较大的时刻。为了展示上述属性,我们设计和进行了实验,包括不驾驶自行车的平衡,拆开有外部冲击的自行车,以及向前移动和转动的自行车。实验结果表明,自行车可以克服颠簸,不均匀的地形和外部干扰。此外,由于实验结果与模拟中的结果一致,因此它验证了与陀螺平衡器的衍生自行车动力学模型,并证明其鲁棒性。然而,由于陀螺仪平衡器的倾斜角度限制,系统抵抗连续干扰的能力不够强。因此,我们通过使用AFSMC修改了控制策略,尽管FSMC比PID控制更好地执行。从第四节的模拟,它表明,AFSMC在抵抗比FSMC的持续干扰方面具有更好的性能。此外,平衡术自行车或移动自行车的能力不小于FSMC。因此,采用AFSMC来替换FSMC。 AFSMC的自适应法和估算法的设计基于Lyapunov功能,以确保系统的稳定性。目前正在进行由AFSMC控制的自行车的实验。

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