华中科技大学学报（自然科学版）2024，Vol.52Issue(6)：63-70,8.DOI:10.13245/j.hust.240661
散粒体压制成型过程非线性负载力补偿算法研究
Study on nonlinear load force compensation algorithm for granular materials compaction processes
摘要
Abstract
Aiming at the problem that when the elastic-plastic deformation occurred during the special granular materials compaction process,the load stiffness presented complex nonlinear time-varying characteristics,and the granular compression molding device was prone to the jitter phenomenon,which affected the density uniformity and consistency of the product,the mathematical model of the electro-hydraulic servo system was established,and a nonlinear load force compensation algorithm was proposed based on granular materials compaction processes.The influence of the nonlinear load force on the electro-hydraulic servo system was suppressed by the cancellation compensation mechanism,so the system became a decoupled linear system.Experiment results show that when the proposed PID+LOC(proportion integration differentiation plus load observation compensator)nonlinear load force compensation algorithm is taken,the influence of nonlinear load force on the control system's performance is significantly reduced,and the motion control curve changes linearly during granular materials compaction processes.Due to the creep characteristics of granular materials,it is easy to induce the fading oscillation phenomenon of the compacting force in the pressure-maintaining stage when taking PID as the control algorithm.However,the fading oscillation phenomenon of the compacting force is eliminated in the pressure-holding stage,and moreover the control accuracy of the system is effectively improved and the frequency bandwidth of the system is extended when the proposed PID+LOC is taken.关键词
散粒体/压制成型/非线性负载/对消补偿机制/解耦线性系统Key words
granular materials/compaction processes/nonlinear load force/cancellation compensation mechanism/decoupled linear system分类
机械制造引用本文复制引用
武哲,袁畅,李宝仁,杨钢..散粒体压制成型过程非线性负载力补偿算法研究[J].华中科技大学学报（自然科学版）,2024,52(6):63-70,8.基金项目
国防科技基础加强计划重点基础研究项目(2021-173ZD-029). （2021-173ZD-029）
