基于粒子群优化的模糊PID阀控液压缸控制仿真  

Fuzzy PID Valve-controlled Hydraulic Cylinder Control SimulationBased on Particle Swarm Optimization

作　　者：柯贤峰 肖世德[1] KE Xian-feng;XIAO Shi-de(School of Mechanical Engineering,Southwest Jiaotong University,Chegndu 610031,China)

机构地区：[1]西南交通大学机械工程学院,四川成都610031

出　　处：《液压气动与密封》2024年第11期61-66,共6页Hydraulics Pneumatics & Seals

摘　　要：为了提高比例阀控液压缸的控制效能和精度,针对比例阀控液压缸存在响应速度慢、跟踪精度低等问题,提出了一种粒子群优化(Particle Swarm Optimization,PSO)模糊PID参数的方法。建立AMESim-Simulink联合仿真平台,采用了基于粒子群优化的模糊PID控制算法,针对比例阀控液压缸系统,使用粒子群算法对模糊PID进行参数调优,并运用AMESim-Simulink联合仿真平台进行模拟实验。模拟实验验证了基于粒子群优化的模糊PID控制器提高了系统的响应速度,减小了超调量,提高了稳定性。To enhance the control efficiency and precision of the proportional valve-controlled hydraulic cylinder,a method for optimizing fuzzy PID parameters using particle swarm optimization is proposed to address the issues of slow system response speed and low tracking accuracy.A combined AMESim-Simulink simulation platform is established,employing a fuzzy PID control algorithm based on particle swarm optimization for the proportional valve-controlled hydraulic cylinder system.The particle swarm algorithm is utilized to fine-tune the parameters of the fuzzy PID,and simulations are conducted using the AMESim-Simulink joint simulation platform.The simulation experiments validate that the particle swarm optimized fuzzy PID controller improves system response speed,reduces overshoot,and enhances stability in the proportional valve-controlled hydraulic cylinder system.

关 键 词：比例阀控液压缸 PSO算法 模糊PID 仿真 

分 类 号：TH137[机械工程—机械制造及自动化]