具有双向搬运机构的两轮机械PID、bfo优化PID和PD-FLC控制的比较研究。

Robotics and biomimetics Pub Date : 2018-01-01 Epub Date: 2018-11-03 DOI:10.1186/s40638-018-0089-3
K M Goher, S O Fadlallah
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引用次数: 5

摘要

在本文中;为了控制一种新型的五自由度两轮机器人的稳定性,采用了三种控制方法,该机器人是为要求有限空间工作环境的工业应用而设计的。将比例-积分-导数(PID)控制方法、PID控制方法的细菌觅食优化和模糊逻辑控制方法应用于轮式机床,以获得提供最佳系统稳定性能的最优控制策略。仿真结果表明,考虑多种运动场景,采用细菌觅食优化方法优化的PID控制器在最小超调量、上升时间和施加的输入力方面优于其他两种控制方法。
本文章由计算机程序翻译,如有差异,请以英文原文为准。

PID, BFO-optimized PID, and PD-FLC control of a two-wheeled machine with two-direction handling mechanism: a comparative study.

PID, BFO-optimized PID, and PD-FLC control of a two-wheeled machine with two-direction handling mechanism: a comparative study.

PID, BFO-optimized PID, and PD-FLC control of a two-wheeled machine with two-direction handling mechanism: a comparative study.

PID, BFO-optimized PID, and PD-FLC control of a two-wheeled machine with two-direction handling mechanism: a comparative study.

In this paper; three control approaches are utilized in order to control the stability of a novel five-degrees-of-freedom two-wheeled robotic machine designed for industrial applications that demand a limited-space working environment. Proportional-integral-derivative (PID) control scheme, bacterial foraging optimization of PID control method, and fuzzy logic control method are applied to the wheeled machine to obtain the optimum control strategy that provides the best system stabilization performance. According to simulation results, considering multiple motion scenarios, the PID controller optimized by bacterial foraging optimization method outperformed the other two control methods in terms of minimum overshoot, rise time, and applied input forces.

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