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Application of Mathematical Analysis Method in the Teaching of Automatic Control Theory

机译:数学分析方法在自动控制理论教学中的应用

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In this paper, the method of root locus separation for complex automatic control system is discussed, to illustrate the importance of mathematical analysis methods in the design of automatic control systems. The mathematical method used to solve the separation points of root locus includes heuristic method, Newton residual theorem method, tail quadratic factor method and MATLAB method. This paper introduced the principle of these mathematical methods, analyzed and compared the solution process. The mathematical techniques used to obtain the separation point by heuristics, leaving the item not near the separation point, can make up for the shortcomings of the trial method with great blindness, reduce the number of calculations and increase its applicability. The Newton remainder theorem and the tail two factor method are tedious, but Newton's remainder theorem is more accurate. The Matlab method is faster and simpler.
机译:在本文中,讨论了复杂自动控制系统的根轨迹分离方法,以说明数学分析方法在自动控制系统的设计中的重要性。用于解决根基因座分离点的数学方法包括启发式方法,牛顿残余定理方法,尾巴二次因子法和MATLAB方法。本文介绍了这些数学方法的原理,分析并比较了解决方案过程。用于获得HeuRistics的分离点的数学技术,将物品留在分离点附近,可以弥补试验方法的缺点具有巨大的失明,减少计算次数并提高其适用性。牛顿剩余定理和尾部两因素方法是乏味的,但牛顿的剩余定理更准确。 MATLAB方法更快,更简单。

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