自行车机器人的动态补偿与控制

A. Suebsomran
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引用次数: 3

摘要

研究了自行车机器人的动态补偿与平衡控制。由于系统的不稳定性,自行车机器人或无人驾驶汽车系统的平衡控制需要实现系统的稳定。利用陀螺仪效应原理进行平衡控制,利用机械飞轮原理产生转矩力来设计系统。机械飞轮是由一对刚性机械飞轮组成,并围绕产生角动量的固定参考轴旋转。当旋转飞轮的角度随倾斜角误差而变化时,产生进动力矩来动态补偿自行车机器人的倾斜角。根据平衡控制和转向控制两种方法,由拉格朗日方程导出了系统的动力学运动方程。为了控制所需的倾斜角,利用PD控制器将倾斜角偏差与飞轮转角成比例地控制。通过仿真研究验证了圆盘角速度与不同角动量下旋转圆盘角度的关系。仿真结果表明,机械式飞轮产生的力矩可用于补偿机器人的平衡控制,并为下一步的性能验证做准备。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Dynamic compensation and control of a bicycle robot
This research presents the dynamic compensation and balancing control of a bicycle robot. Due to unstable system, balancing control of a bicycle robot or unmanned vehicle system desires to enforce the system stabilization. Using gyroscopic effect principle for balancing control, system is designed by applying the principle of mechanical fly wheels to produce the torque effort. Mechanical fly wheel is composed of a couple of two rigid mechanical fly wheels, and rotated about fixed reference axis that produces the angular momentum. When angle of rotated fly wheels are changed according to lean angle error, the precession torque is produced to compensating lean angle of bicycle robot dynamically. Dynamic equation of motion is derived from Lagrange's equation in according to both balancing and steering control methods. To controlling the desired lean angle, an error derived from the lean angle deviation is controlled proportionally to angular rotation of fly wheels by using PD controller. Simulation study is verified to finding the relationships of disc angular velocity and angle of rotated disc in different angular momentum. From simulation results, torque can be produced by mechanical fly wheels to compensating robot balancing control and planed for experiment for performance validation in the next step.
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