考虑多变路况的机器人循迹优化教学实验

Teaching Experiment of Robot Tracking Optimization Considering Variable Road Conditions

在教学中为了使学生更好地理解模糊控制理论,设计了在模糊控制下的机器人路径循迹优化实验,利用课堂教学与翻转课堂相结合的授课模式,展显智能控制的突出优势,同时也解决理论与实践相分离的问题。通过对模糊控制及传统PID控制下机器人对多复杂路径的跟踪循迹对比,加深学生对模糊控制的理解。实验证明,该控制方法不仅能降低系统的循迹误差,还可帮助学生更好地理解模糊控制理论。

In teaching, in order to make students better understand the fuzzy control theory, the robot path tracking optimization experiment under fuzzy control is designed. The teaching mode combining classroom teaching and flipped classroom is used to show the outstanding advantages of intelligent control and solve the problem of separation of theory and practice at the same time.Through the comparison of multi-complex path tracking of robot under fuzzy control and traditional PID control, the students′ understanding of fuzzy control is deepened.The experimental results show that this control method can not only reduce the tracking error of the system, but also help students better understand the fuzzy control theory.