首页|基于CPSO优化的LADRC胎面挤出量控制系统

基于CPSO优化的LADRC胎面挤出量控制系统

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针对橡胶胎面生产挤出量控制系统过程机理复杂、扰动过多且难以测量的问题,设计了一种混沌粒子群(CPSO)优化的线性自抗扰控制器(LADRC)以弥补传统PID控制的不足,实现对胎面生产挤出量的稳定控制.通过使用MATLAB进行系统辨识,得到胎面挤出量的数学模型,建立LADRC与传统PID控制方式下的胎面挤出量控制系统,并用仿真实验验证LADRC方法的优势,研究不同干扰下LADRC方法对系统的影响.引入CPSO算法优化整定LADRC参数,将不同LADRC参数下的模型进行仿真对比以验证CP-SO算法调参的优势,并加入不同扰动,观察控制器参数变化对系统响应的影响.结果显示,LADRC方法相较于PID控制器能更好地补偿干扰影响,加入CPSO算法优化后,系统的输出响应、快速性得到增强,调节时间变短,相对LADRC控制器,CPSO-LADRC控制器对橡胶胎面生产挤出过程中恒定性和鲁棒性的控制效果更为明显.
Extrusion control system of LADRC tread based on CPSO optimization
In order to solve the problems of complex mechanism,excessive disturbance and difficult measure-ment of extrusion control system for rubber tread production,as well as the shortcomings of traditional PID con-trol,a linear active disturbance rejection controller(LADRC)optimized by chaotic particle swarm optimization(CPSO)is designed to achieve stable control of extrusion quantity for tread production.The mathematical mod-el of tread extrusion quantity is identified systematically by MATLAB software.The tread extrusion control sys-tem with LADRC and traditional PID control mode are established to verify the advantages of LADRC method through simulation comparison,and the influence of LADRC method on the system under different interference is studied.CPSO algorithm is introduced to optimize the setting of LADRC parameters,models with different LADRC parameters are simulated and compared to verify the advantages of CPSO algorithm parameter tuning,different disturbances are added to observe the effect of controller parameter changes on system response.The simulation results show that LADRC method can compensate the interference better than PID controller.With the addition of CPSO algorithm optimization,output response,speed of the system are enhanced,and the ad-justment time is shorter.Compared with the LADRC,the CPSO-LADRC has more obvious control effect on the stability and robustness of rubber tread production extrusion process.

extrusion controlactive disturbance rejection controlCPSOoptimal setting

彭子豪、陈明霞、卢澎澎

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桂林理工大学 机械与控制工程学院,广西 桂林 541006

挤出量控制 自抗扰控制 混沌粒子群算法 优化整定

国家自然科学基金项目

61863009

2024

桂林理工大学学报
桂林理工大学

桂林理工大学学报

CSTPCD北大核心
影响因子:0.618
ISSN:1674-9057
年,卷(期):2024.44(2)