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机构地区:[1]浙江理工大学机械工程学院,浙江 杭州 [2]浙江机电职业技术学院自动化学院,浙江 杭州 [3]杭州宏华数码科技股份有限公司,浙江 杭州
出 处:《建模与仿真》2024年第1期477-487,共11页Modeling and Simulation
摘 要:针对家纺产品折叠机在高速状态下折叠精度不足的问题,提出一种基于模糊PID算法的家纺产品折叠变频控制方案。根据折叠机系统的预横折模块,通过对折叠工艺,机械结构等分析,构建了变频电机控制传递函数的数学模型,设计了模糊PID控制器,制定了模糊规则。基于MATLAB和Simulink模块仿真,通过对精度误差和误差变化率的在线修正,得出PID和模糊PID的仿真结果。对比分析表明:在阶跃信号作用下,模糊PID控制所需上升时间和调节时间比PID控制的时间分别减少了56.7%和59.6%;加入扰动信号作用后,模糊PID控制表现了良好的抗干扰能力,扰动撤除后仅用0.018 s便回归稳态,比PID控制响应时间提升了74%,PID控制回归稳态后有微量稳态误差,且模糊PID鲁棒性更好。实验结果表明:模糊PID的折叠精度提高了44.4%,可以完成高质量的折叠。A frequency conversion control scheme for home textile product folding based on a fuzzy PID algo-rithm is proposed to address the issue of insufficient folding accuracy of home textile product fold-ing machines at high speeds. Based on the pre-folding module of the folding machine system, a mathematical model for the transfer function of variable frequency motor control was constructed by analyzing the folding process, mechanical structure, etc. A fuzzy PID controller was designed and fuzzy rules were formulated. Based on MATLAB and Simulink module simulation, the simulation results of PID and fuzzy PID are obtained through online correction of accuracy error and error rate of change. Comparative analysis shows that under the action of step signals, the rise time and ad-justment time required by fuzzy PID control are reduced by 56.7% and 59.6%, respectively, com-pared to PID control;After adding disturbance signals, the fuzzy PID control showed good an-ti-interference ability. After the disturbance was removed, it only took 0.018 seconds to return to a steady state, which increased the response time by 74% compared to PID control. After PID control returned to a steady state, there was a slight steady-state error, and the fuzzy PID robustness was better. The experimental results show that the folding accuracy of fuzzy PID has been improved by 44.4%, and high-quality folding can be achieved.
分 类 号:TP2[自动化与计算机技术—检测技术与自动化装置]
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