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The application of fuzzy theory in submarine maneuver control

机译:模糊理论在潜艇机动控制中的应用

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IN the domain of industry control, PID control is the basic algorithm, which has been used for a long time because of its simple structure, easy realization and many other virtues. For many simple control objects, PID control could easily achieve perfect effect, but for some complex object the effect is not so perfect. The submarine maneuver control system is a nonlinear six degree of freedom model, which has the great inertia variational parameters and many other complex characters. It is difficult for single PID to control the system because of the complex characters. In many instances, the best control is obtained in the manual mode using experienced operators. Fuzzy control translates the thinking of experienced operators into control algorithm, which has proven effective for complex, nonlinear, imprecisely-defined model. In order to advance the control effect, fuzzy theory is introduced and simulation experiments are carried out in this paper. The result shows that fuzzy PID control designed for the unstable nonlinear model of submarine maneuver respond more rapidly and robustly than single PID control.
机译:在工业控制领域,PID控制是基本算法,它已经使用了很长时间,因为其结构简单,实现了许多其他美德。对于许多简单的控制对象,PID控制可以很容易地实现完美效果,但对于一些复杂的对象,效果并不是那么完美。潜艇机动控制系统是非线性六个自由模型,具有巨大的惯性变分参数和许多其他复杂性格。单个PID很难因为复杂的字符而控制系统。在许多情况下,使用经验丰富的运算符在手动模式下获得最佳控制。模糊控制将经验丰富的运营商思想转化为控制算法,其证明对复杂,非线性,不切实义的模型有效。为了推进控制效果,引入模糊理论,本文进行了模拟实验。结果表明,模糊PID控制设计用于潜艇机动的不稳定非线性模型,比单个PID控制更快且强大地响应。

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