模糊PID在CNC粉末液压机控制系统中的应用研究
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摘要
CNC粉末冶金液压机电液伺服控制系统具有时变性、易受干扰等特点,运用常规的PID控制难以达到满意的控制效果。文章应用模糊PID控制实现了对PID参数的在线自适应整定,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,分别对CNC粉末液压机的位置与速度的模糊PID控制与常规PID控制进行仿真分析,结果表明:与常规PID控制器相比,系统无论是处于正常状态下、干扰状态下还是其阻尼比发生变化时,模糊PID控制器均表现出了更高的控制精度、更强的抗干扰能力和自适应控制性能。
It is difficult to obtain satisfying control performance with conventional PID in that the electrohydraulic servo system of CNC powder metallurgy hydraulic machine is time-varying and susceptible to interference. However,this paper improves the performance of PID controller in the electro-hydraulic servo control system by using fuzzy-PID to make the PID parameter have the ability of on-line adoptive adjustment. The fuzzy-PID control and conventional PID control of the CNC powder hydraulic machine' s position and velocity is respectively simulated and analyzed with the unit step signal inputted. The results show that compared with conventional PID controller,whenever the system is in a normal state,the interference state or its damping ratio is changed,the fuzzy-PID controller not only shows a higher control precision but also a stronger anti-interference ability and an adaptive control performance.
It is difficult to obtain satisfying control performance with conventional PID in that the electrohydraulic servo system of CNC powder metallurgy hydraulic machine is time-varying and susceptible to interference. However,this paper improves the performance of PID controller in the electro-hydraulic servo control system by using fuzzy-PID to make the PID parameter have the ability of on-line adoptive adjustment. The fuzzy-PID control and conventional PID control of the CNC powder hydraulic machine' s position and velocity is respectively simulated and analyzed with the unit step signal inputted. The results show that compared with conventional PID controller,whenever the system is in a normal state,the interference state or its damping ratio is changed,the fuzzy-PID controller not only shows a higher control precision but also a stronger anti-interference ability and an adaptive control performance.
引文
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[2]关景泰.机电液控制技术[M].上海:同济大学出版社,2003.
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[6]张化光,孟祥平.智能控制理论及应用[M].北京:机械工业出版社,2005.
[7]韩江,余仲元,何高清,等.模糊自适应PID控制在数控精密校直机电液伺服系统中的应用研究[J].组合机床与自动化加工技术,2009(8):54-56.
[8]Oysal Y.,Koklokaya E.,Yilmax A.S..Fuzzy PID controller design for load frequency control using gain scaling technique[J].International conference on Electric Powder Engineering,1999:178.
[9]Wang ning.A fuzzy PID controller for mutil-model plants[J].Proceedings 2002 International Conference on Machine Learning and Cybernetics,2002(3):1401-1404.
[10]张建民,王涛,王忠礼.智能控制原理及应用[M].北京:冶金工业出版社,2003.
[2]关景泰.机电液控制技术[M].上海:同济大学出版社,2003.
[3]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.
[4]曾光奇,胡均安,王东,等.模糊控制理论与工程应用[M].武汉:华中科技大学出版社,2006.
[5]田凡.电液伺服系统模糊PID控制仿真与试验研究[D].太原:太原理工大学,2010.
[6]张化光,孟祥平.智能控制理论及应用[M].北京:机械工业出版社,2005.
[7]韩江,余仲元,何高清,等.模糊自适应PID控制在数控精密校直机电液伺服系统中的应用研究[J].组合机床与自动化加工技术,2009(8):54-56.
[8]Oysal Y.,Koklokaya E.,Yilmax A.S..Fuzzy PID controller design for load frequency control using gain scaling technique[J].International conference on Electric Powder Engineering,1999:178.
[9]Wang ning.A fuzzy PID controller for mutil-model plants[J].Proceedings 2002 International Conference on Machine Learning and Cybernetics,2002(3):1401-1404.
[10]张建民,王涛,王忠礼.智能控制原理及应用[M].北京:冶金工业出版社,2003.