改进粒子群优化的中药提取参数模糊PID解耦控制研究  

Research on Improved Particle Swarm Optimization Fuzzy PID Decoupling Control for Extraction of Traditional Chinese Medicine

作　　者：张玉雪 周军[1,2,3] 皇攀凌[1,2,3] 孟剑峰[1,2,3] ZHANG Yuxue;ZHOU Jun;HUANG Panling;MENG Jianfeng(School of Mechanical Engineering,Shandong University,Jinan 250061,China;Key Laboratory of High Efficiency and Clean Mechanical Manufacture,Ministry of Education,Shandong University,Jinan 250061,China;National Experimental Teaching Demonstration Center of Mechanical Engineering,Shandong University,Jinan 250061,China)

机构地区：[1]山东大学机械工程学院,山东济南250061 [2]山东大学高效洁净机械制造教育部重点实验室,山东济南250061 [3]山东大学机械工程国家级实验教学示范中心,山东济南250061

出　　处：《控制工程》2023年第6期1121-1128,共8页Control Engineering of China

基　　金：国家重点研发计划项目(2019YFC1711200);山东省重点研发计划项目(2019JZZY020113,2019JZZY020615,2019JZZY020616)。

摘　　要：为解决中药提取过程中温度和压力控制存在的非线性、大惯性和多变量耦合等问题,建立了一种基于改进粒子群优化的模糊PID多变量解耦控制模型。在中药提取过程的动态数学模型基础上,结合多变量前置反馈解耦器对模型进行解耦,降低温度和压力间的耦合度;引入线性递减和目标值自适应融合的动态惯性权重策略,用改进粒子群优化算法对模糊PID控制器的比例因子和量化因子进行优化,避免参数陷入局部最优;最后,在Simulink中对所设计的控制模型进行仿真。结果表明:改进算法优化后的模糊PID解耦控制器的曲线超调接近于0,温度调节时间缩短97%,压力调节时间缩短55%,系统无振荡,基本消除了稳态误差,提高了中药提取过程中温度和压力的控制精度。To solve the nonlinear,large inertia and multivariable coupling problems of temperature and pressure control in the extraction process of traditional Chinese medicine,a fuzzy PID multivariable decoupling control model based on improved particle swarm optimization was established.Based on the dynamic mathematical model of the extraction process of traditional Chinese medicine,a multivariable pre-feedback decoupling method is used to decouple the model to reduce the coupling degree between temperature and pressure.The dynamic inertial weight strategy of linear decline and adaptive fusion of target value was introduced,and the scale factor and quantization factor of fuzzy PID controller were optimized by improved particle swarm optimization algorithm to avoid the parameters falling into local optimum.Finally,the control model is simulated in Simulink.The results show that the curve overshoot of the fuzzy PID decoupling controller optimized by the improved algorithm is close to 0,the temperature adjustment time is reduced by 97%,the pressure regulation time is reduced by 55%,the system has no oscillation,the steady-state error is basically eliminated,and the control accuracy of temperature and pressure in the extraction process of traditional Chinese medicine is improved.

关 键 词：中药提取 多变量解耦 改进粒子群优化 模糊PID 

分 类 号：TP273[自动化与计算机技术—检测技术与自动化装置]