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Feed-in-time control by incursion

机译:侵入的时间控制

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摘要

This paper deals with an innovative mathematical tool for modelling, simulating and controlling systems in automation engineering. Classically, feedback processes are based on recursive loops where the future state of a system is computed from the present and past states. With the new concept of incursion, an inclusive recurison, the future state of a system is taken into account for computing this future state in a self-referential way. The future state is computed from the mathematical model of the system. With incursion, numericla instabilities in the simulation of finite difference equations can be stabilised. The incursive control of systems can also stabilise feedback loops by anticipating the effect of the control what I call a feed-in-time control. In this short paper, the particualr case of the modelling, simulation and control of a robot arm in a working space is studied. The highly non-linear model is based on recursive finite difference equations which give rise to instabilities, bifurcations and fractal chaos. The control by incursion, called feed-in-time control, of such a robot arm stabilises its trajectory. Numerical simualtions show that the robot arm reaches set points in a few steps in any point of the working space.
机译:本文介绍了一种用于自动化工程中的系统建模,仿真和控制的创新数学工具。传统上,反馈过程基于递归循环,其中从当前和过去状态计算系统的将来状态。使用新的入侵概念(包容性递归),系统的未来状态将以自引用方式计算出该未来状态。未来状态是根据系统的数学模型计算得出的。通过引入,可以稳定有限差分方程仿真中的数值不稳定性。系统的侵入式控制还可以通过预期控制的作用(我称之为实时馈送控制)来稳定反馈回路。在这篇简短的论文中,研究了在工作空间中对机器人手臂进行建模,仿真和控制的特殊情况。高度非线性的模型基于递归有限差分方程,该方程会引起不稳定性,分叉和分形混沌。这种机器人手臂的侵入控制(称为进给控制)可以稳定其轨迹。数值模拟表明,机器人手臂在工作空间的任何一点都可以通过几步达到设定点。

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