基于遗传算法的叉车速度控制

J. Bae, Dong Cheol Lee, D. Ahn, Jong Moon Lee, K. Kim, M. Kim
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引用次数: 3

摘要

一般来说,工业领域使用的是由直流电动机驱动的电子叉车驱动系统。传统上,直流电机用比例控制方法控制电流或速度,通过输出转矩跟随负载在平面上进行手动操作。但在工业领域,电子叉车对驱动方式的要求非常高。在某些情况下,随坡容量变化的转矩和速度控制存在问题。控制对斜坡角和输出速度敏感。为了保证速度控制的稳定性,研究了各种控制方法。本文采用遗传算法自整定速度控制器获得鲁棒稳定的速度控制,并采用稳定高效的DSP控制作为高速处理器的主控制器,体现了PI控制与模糊控制相比控制的动态特性。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Speed control of fork lift vehicle using a genetic algorithm
In general, the electronic fork lift driven by a DC motor drive system is used in the industrial field. Classically, the DC motor is controlled by current or speed control using proportion control method, by output torque following the load on the plane like a manual operation. But in the industrial field, the electronic fork lift demands the robust drive mode. For some cases of the mode, there is a problem in torque and speed control following slope capacity. The control is sensitive concerning the slope angle and output speed. Various control methods have been studied for stability of speed control. In this paper, the author applies a speed controller for self-tuning using the genetic algorithm to obtain robust, stable speed control and uses stable, high efficiency DSP control as the main controller for high speed processor, embodying dynamic characteristics of control comparing the PI control to the fuzzy control.
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