基于高度反馈的烟用丝束预开松压力自适应PID控制研究OA

[Background and Objective]This study addresses engineering challenges in filter rod forming machines,such as uneven material compaction and fluctuating process parameters caused by the self-weight of tobacco filament bundles.It proposes a height-feedback-based fuzzy adaptive PID pressure regulation strategy to resolve these issues.[Methods]By introducing a fuzzy inference mechanism that performs online tuning of PID control parameters based on real-time height deviations of the filament bundle,this strategy effectively overcomes the nonlinear friction and hysteresis effects of pneumatic actuators.Utilizing this control strategy,a closed-loop regulation system incorporating laser ranging sensors and pneumatic actuators was constructed,enabling precise pressure compensation for tow across varying material layer heights.[Results]Field testing on industrial production lines demonstrated that this strategy significantly enhances processing stability.Compared to the traditional constant-pressure mode,the qualification rate of filter rod pressure drop improved from 75.67%to 85%,while the standard deviation of fluctuations decreased significantly.This effectively resolves the issue of processing quality inconsistency caused by variations in filament bundle height.