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基于模糊短反馈PID控制的粉末包装计量控制系统 被引量:8

Powder Packaging Metering Control System Based on Fuzzy Short Feedback PID Control
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摘要 目的粉末包装计量控制系统具有非线性等特点,传统的PID控制越来越无法满足工业产品包装的性能要求,为了提高包装机计量控制系统的速度、精度以及稳定性等,以实现快速精准的产品包装。方法在现有控制理论的基础上,结合模糊控制理论和生物神经内分泌腺体激素调节的原理,提出一种基于模糊短反馈PID控制的粉末包装计量控制系统。模糊控制的引入可以实现对传统PID控制器参数的在线调整;短反馈算法的引入可以使模糊PID控制更加精确、快速,并将该新型控制算法应用到粉末包装定量控制系统中与传统控制算法进行对比。结果通过Matlab中的Simulink工具箱搭建模糊短反馈PID控制的粉末包装计量控制系统仿真平台,并与传统的PID控制和模糊PID控制进行了比较可知,该系统具有响应速度快、抗干扰能力强等优良的性能。结论通过仿真验证可知,模糊短反馈PID控制的粉末包装计量控制系统具有稳定性好、响应快等良好的性能指标,同时具备一定的抗干扰能力。 The work aims to improve the speed, accuracy and stability of measurement control system of packaging machine so as to achieve the fast and accurate product packaging because the measurement control system of powder packaging has the non-linearity and traditional PID control can not meet the performance requirements of industrial product packaging. On the basis of the existing control theory, combining the theory of fuzzy control and the principle of hormone regulation of biological neuroendocrine glands, a powder packaging metering control system based on Fuzzy short feedback PID control was proposed. The introduction of fuzzy control could realize on-line adjustment of parameters of traditional PID controller. The introduction of short feedback algorithm could make the fuzzy PID control more accurate and fast. The new control algorithm was applied to the quantitative control system of powder packaging to be compared with the traditional control. Simulink toolbox in Matlab was used to build a simulation platform of powder packaging metering control system based on Fuzzy short feedback PID control. Compared with traditional PID control and fuzzy PID control, the system had fast response speed and strong anti-interference ability. The simulation results show that the powder packaging metering control system based on Fuzzy short feedback PID control has good stability, fast response and other good performance indicators, and has a certain anti-interference ability.
作者 杨晓 董娜 王国柱 YANG Xiao;DONG Na;WANG Guo-zhu(Henan Institute of Technology, Xinxiang 453003, China)
机构地区 河南工学院
出处 《包装工程》 CAS 北大核心 2019年第9期148-153,共6页 Packaging Engineering
基金 河南省科技攻关项目(182102210033)
关键词 粉末包装 计量 传统PID控制 模糊控制 生物神经内分泌 短反馈算法 MATLAB powder packaging metrology traditional PID control fuzzy control biological neuroendocrine short feedback algorithm Matlab
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