PID-Fuzzy control design for a nonlinear inverted pendulum

Adriano Kossoski, F. C. Corrêa, Â. Tusset, J. Balthazar
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Abstract

This study aims to present a PI-Fuzzy and PID-Fuzzy design to control the position while maintaining the balance of an inverted pendulumsystem. This type of system is well known for its challenge in carrying out the control and its similarities and applications in other systems, such as transport vehicles and robots. Thus, being a famous and important system to be used as a control benchmark. Nonlinear dynamic equations for the inverted pendulum where obtained through the Lagrange formulation. An adaptive PI-Fuzzy and PID-Fuzzy controller was designed and implemented on the nonlinear model. The final results demonstrate a great increase in performance, both on displacement and dynamics balance, when compared to the classic PI and PID controllers, especially when in the presence of parametric changes in the system
非线性倒立摆pid -模糊控制设计
本研究旨在提出一种PI-Fuzzy和PID-Fuzzy设计来控制倒立摆系统的位置,同时保持平衡。这种类型的系统以其在执行控制方面的挑战以及在其他系统(如运输车辆和机器人)中的相似之处和应用而闻名。因此,作为一个著名的和重要的系统,作为控制基准。利用拉格朗日公式得到倒立摆的非线性动力学方程。在非线性模型上设计并实现了自适应pi -模糊控制器和pid -模糊控制器。最终结果表明,与经典的PI和PID控制器相比,在位移和动态平衡方面的性能有了很大的提高,特别是在系统中存在参数变化的情况下
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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