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作 者:王波[1] 熊瑞平[1] 赵亚文 邓银 程昶运 舒生豪 WANG Bo;XIONG Rui-ping;ZHAO Ya-wen;DENG Yin;CHENG Chang-yun;SHU Sheng-hao(School of Manufacturing Science and Engineering,Sichuan University,Chengdu,Sichuan 610065)
机构地区:[1]四川大学制造科学与工程学院
出 处:《液压与气动》2020年第1期171-176,共6页Chinese Hydraulics & Pneumatics
摘 要:针对直驱式电液伺服系统受定量泵最低转速,不能反转的限制以及动态响应较慢,不能实现较低压力控制的情况,提出一种双泵直驱电液伺服系统。由于人工整定PID参数较为困难、效率较低,并且粒子群算法(PSO)具有收敛速度快、参数设置少等优点,故采用PSO对PID控制器进行参数优化。将粒子群算法优化的PID控制器应用于双泵直驱电液伺服系统的压力控制,通过AMESim和MATLAB的联合仿真实验,结果表明PSO-PID控制的双泵直驱电液伺服系统动态特性好,抗干扰能力强,能够实现较低的压力控制。Direct-drive electro-hydraulic servo system has slow dynamic response,and it can t realize low pressure control due to the restriction of minimum speed and non-reversal of its quantitative pump.A dual-pump direct-drive electro-hydraulic servo system is proposed to solve above problems.It is difficult and inefficient to adjust PID parameters manually,and particle swarm optimization(PSO)has the advantages of fast convergence and less parameter setting.So PSO is used to optimize the parameters of the PID controller.The PID controller optimized by particle swarm optimization is applied to the pressure control of double-pump direct-drive electro-hydraulic servo system.Through the joint simulation experiments of AMESim and MATLAB,the results show that the PSO-PID control of double-pump direct-drive electro-hydraulic servo system has good dynamic characteristics,strong anti-interference ability,and can achieve low pressure control.
关 键 词:AMESim-MATLAB 双泵 粒子群 PID 直驱式电液伺服系统 联合仿真
分 类 号:TH137[机械工程—机械制造及自动化]
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