自调谐自动控制系统中自由运动提取滤波器的研究

V. Khobin, M. Levinskyi
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摘要

技术型控制对象区别于众多移动型或电工型控制对象的具体特征是低频参数扰动谱组成多于坐标扰动谱组成。最常见的参数扰动显示自己在改变控制对象传输系数在通道-控制器控制动作-控制变量‖。在许多情况下,透射系数可以在很大范围内变化-在2…10倍以上的初始值。坐标扰动改变控制变量,但不改变控制对象的特征。除控制变量变化的谱密度外,在坐标扰动的影响下,谱密度在低频范围内达到峰值,表征了自动控制系统运动的强迫分量。参数扰动会对控制变量和控制对象的特性产生影响,尤其是对其过渡系数产生影响。在这种情况下,瞬态过程的特性发生了变化,即系统的自由运动分量。控制变量的谱密度变化,在过渡系数变化的影响下,一般在中频范围内出现峰值。在使用滤波器时,即使是近似地,也可以从整个过程中分离出具有自动控制系统一般自由运动特征的中频分量,则可以利用该分量的参数变化来估计控制对象传输系数的电流值。采用这种控制变量运动分离的方法设计自整定ACS。在这种情况下,信息参数是控制对象控制变量与其模型控制变量在线性带通滤波器输出中的色散差。这种色散差与跃迁系数的当前值成正比。本文介绍了开环自整定自动控制系统的仿真建模计算机实验结果。并对三种滤波模型的滤波效率进行了分析。对三种不同的坐标扰动谱组成、控制对象及其模型动力学相同、动力学不同进行了分析。给出了过滤器结构选择的建议。研究了滤波器参数优化的可能性。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
FILTERS RESEARCH FOR FREE MOTION EXTRACTION IN SELF-TUNING AUTOMATIC CONTROL SYSTEMS
Technological type control objects specific feature, which distinguish them among many mobile or electro technical types, is more low-frequency parametric disturbances spectral composition than spectral composition of coordinate disturbances. Most often parametric disturbances reveal themselves in changing control object transmission coefficient in the channel ―controller control action – control variable‖. On a number of occasions transmission coefficient can change in a wide range – in 2…10 times more than initial value. Coordinate disturbances change control variables but don’t change control object features. Besides spectral density of control variable change, under the impact of coordinate disturbances, has its peak in low-frequency range and characterize forced component of automatic control system motion. Parametric disturbances have influence on control variables and on control object properties, in particular on its transition coefficient. In this case, character of transient processes change, i.e. free motion component of the system. Spectral density of control variable changes, under the influence of transition coefficient change, has its peak, in general, in mid-frequency range. In the case, when using filters, even approximately, it is possible to separate out mid-frequency component from the overall process, which characterizes generally free motion of automatic control system, then it is possible to estimate current value of control object transmission coefficient using parameters change of this component. Such control variable components motions separation is used for designing selftuning ACS. In this case the informative parameter is dispersions difference of control object control variable and control variable of its model in the outputs of linear band pass filters. This dispersion difference is in proportion to current value of transition coefficient. In this article the results of simulation modeling computer experiments of self-tuning automatic control system with opened self-tuning loop are represented. The analysis of filtering efficiency, for three filter model options, are represented as well. The analysis was carried out with three different coordinate disturbances spectral compositions, with the same dynamics of control object and its model and with the different dynamics. Recommendations for filters structures alternatives selection are given. The possibility of optimal parametric tuning of filters is examined.
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