基于模糊DE算法的粉末液压机电液伺服系统PID参数优化研究
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摘要
针对粉末液压机电液伺服系统具有时变性、非线性、易受干扰的特性,采用常规PID控制难以收到理想效果的问题,在分析电液伺服系统的基础上,建立了系统数学模型,并利用差分进化算法,结合模糊推理技术,提出了一种基于模糊推理技术的差分进化算法。将其用于电液伺服控制系统PID参数优化,提高了PID控制器对电液伺服系统的调节控制能力;在单位阶跃信号输入下,在Matlab中分别对CNC粉末液压机电液伺服系统的FDE-PID控制与常规PID、DE-PID控制效果进行了仿真分析。研究结果表明:相比于其他控制作用,FDE-PID控制器在控制精度、抗干扰能力以及鲁棒性方面均表现出了出色的控制性能。
Aiming at the problem that the time-varying, non-linear and easily disturbed characteristics of electro-hydraulic servo system of powder hydraulic system, it is difficult to achieve ideal results by using conventional PID control, based on the analysis of the electro-hydraulic servo system, the mathematical model of the system was established, and a differential evolution algorithm based on the fuzzy reasoning technology was proposed, which was used to optimize the PID parameters of the electro-hydraulic servo control system and improve the regulation control of the PID controller to the electro-hydraulic servo system. Under the input of unit step signal, FDE-PID control and conventional PID and DE-PID control effects of CNC powder hydraulic electro-hydraulic servo system were simulated and analyzed by Matlab respectively. The results show that the FDE-PID controller performs better in control accuracy, anti-jamming ability and robustness than other control functions.
Aiming at the problem that the time-varying, non-linear and easily disturbed characteristics of electro-hydraulic servo system of powder hydraulic system, it is difficult to achieve ideal results by using conventional PID control, based on the analysis of the electro-hydraulic servo system, the mathematical model of the system was established, and a differential evolution algorithm based on the fuzzy reasoning technology was proposed, which was used to optimize the PID parameters of the electro-hydraulic servo control system and improve the regulation control of the PID controller to the electro-hydraulic servo system. Under the input of unit step signal, FDE-PID control and conventional PID and DE-PID control effects of CNC powder hydraulic electro-hydraulic servo system were simulated and analyzed by Matlab respectively. The results show that the FDE-PID controller performs better in control accuracy, anti-jamming ability and robustness than other control functions.
引文
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[2] 俞建卫,徐蕾,吴士鹏.基于遗传算法优化的模糊PID在粉末液压机伺服系统的应用研究[J].组合机床与自动化加工技术,2013,22(8):58-61.
[3] 吕磊,章国宝,黄永明.基于蝙蝠算法的PID参数整定[J].控制工程,2017,24(3):548-553.
[4] 霍延军.基于量子粒子群算法的PID参数自整定方法[J].微电子学与计算机,2012,29(10):194-197.
[5] 张家骏.基于粒子群算法的PID控制器参数优化研究[J].计算机仿真,2010,27(10):191-222.
[6] STORN R, PRICE K. Differential evolution-a simple and efficient heuristic for global optimization over continuous spaces [J]. Journal of Global Optimization, 1997, 11(4):341-359.
[7] 汪慎文,丁立新,张文生,等.差分进化算法研究进展[J].武汉大学学报:理学版,2014,60(4):283-292.
[8] SARKER R,ELSAYED S M,RAY T.Differential evolution with dynamic parameters selection for optimization problems [J].IEEE Transactions on Evolutionary Computation,2014,18(5):689-707.
[9] 王慧,张晓曼.MATLAB求解电液伺服阀的流量特性曲线[J].电子测量与仪器学报,2015,29(8):1236-1244.
[10] 关景泰.机电液控制技术[M].上海:同济大学出版社,2003.
[11] 赵江平,舒海威,机电液一化联锁装置设计[J].液压气动与密封,2017(7):53-56.
[12] 张春娟,林文茂,司良群.机电液系统故障特征提取方法分析与研究[J].液压气动与密封,2018(9):32-24.
[13] 高钦和,龙勇,马长林,等.机电液一体化建模与仿真技术[M].北京:电子工业出版社,2012.
[14] 张茂力,朱海清,费宏伟.基于预估油压的安全阀在线校验技术研究[J].压力容器,2017,34(11):76-80.