锻压技术

锻造操作机大车行走系统模糊控制与实验验证

英文标题：Experimental validation of fuzzy controller on walking hydraulic servo system of forging manipulators

单位：中南大学

分类号：TG315；TH137.5

出版年,卷(期):页码：2015,40(12):82-86

摘要：

针对锻造操作机大车行走液压伺服系统高性能控制的需求，基于传统PID控制的行走系统难以取得高性能控制的问题，对锻造操作机的大车行走系统进行了系统的模糊控制实验研究。采用了一种解析式模糊控制器，该模糊的控制规则库具有确定的数学模型，解析表达式类似于传统PID结构，参数整定可以借助于PID的整定方法来获得，避免了传统模糊设计存在的较大随意性和经验性。锻造操作机大车行走系统的控制实验研究表明，与传统的PID控制器相比，该方法具有超调小、控制精度高、鲁棒性强以及便于工程实现等优点，是锻造操作机大车行走系统以及相似液压伺服系统控制的一种切实可行的方法。

For requirements of the high performance control on forging manipulator cart walking hydraulic servo system and the difficulty in achieving high performance control of the walking system under traditional PID control, the experimental research of fuzzy control the forging manipulator cart walking system was carried out systematically. A new type of fuzzy controller was adopted, and the fuzzy control rule database had a determinate mathematical model. Because the fuzzy controller structure was similar to the conventional PID, the parameters of the fuzzy controller could be adjusted by the conventional PID to avoid the randomness existed in traditional fuzzy design and experiences. The experimental study shows that, compare with the conventional PID controller, the fuzzy controller method has advantages of small overshoot, high control precision, strong robustness and easy engineering implementation, etc., and it provides a feasible method for the forging manipulator cart walking system as well as the similar hydraulic servo system control.

基金项目：

国家973计划项目（2006GB705404）

作者简介：艾里哈撒尼默罕默德（1988-），男，硕士研究生通讯作者：段小刚（1972-），男，博士，讲师

参考文献：

［1］孔祥东, 刘杰, 翟富刚, 等. 基于AMESim的锻造操作机大车行走液压控制系统仿真研究[J]. 机床与液压,2010，38(13):128-129.Kong X D, Liu J, Zhai F G, et al. Simulation research on driving hydraulic control system of forging manipulator based on AMESim[J].Machinetool & Hydraulics, 2010,38(13):128-129.
［2］周斌,李阁强,江兵,等. 20t锻造操作机大车行走液压控制系统设计[J]. 液压与气动, 2014,(6):92-94.Zhou B，Li G Q，Jiang B，et al. Design of 20 t forging manipulator driving hydraulic control system[J]. Chinese Hydraulics & Pneumatics,2014,(6):92-94.
［3］谭宝成, 王大为, 俞开文. 变结构PID在锻造操作机控制系统中的应用[J]. 西安工业大学学报, 2009，(5):466-470.Tan B C,Wang D W,Yu K W. Variable-structure PID control in forging manipulator [J]. Journal of Xi'an Technological University, 2009，(5):466-470.
［4］陈柏金, 徐明昊, 张红颖. 液压锻造操作机大车行走机构的位置控制系统[J]. 华中科技大学学报：自然科学版, 2011，39(8):6-9.Chen B J, Xu M H, Zhang H Y. Position control system for hydraulic forging manipulator cart movement mechanism[J]. Huazhong Univ. of Sci. & Tech.：Natural Science Edition, 2011，39(8):6-9.
［5］王昕炜, 苗荣霞. 锻造操作机大车行走机构的单神经元自适应PID控制[J]. 西安工业大学学报, 2014,(12):1012-1017.Wang X W, Miao R X, Single neuron adaptive pid control of walking mechanism of forging manioulator cart[J]. Journal of Xi'an Technological University,2014,(12):1012-1017.
［6］吴振顺, 姚建均, 岳东海. 模糊自整定PID控制器的设计及其应用[J]. 哈尔滨工业大学学报, 2004,36(11):1578-1580.Wu Z S, Yao J J, Yue D H . A self-tuning fuzzy PID controller and its application[J]. Journal of Harbin Institute of Technology, 2004,36(11):1578-1580.
［7］Zheng J, Zhao S, Wei S. Application of self-tuning fuzzy PID controller for a SRM direct drive volume control hydraulic press[J]. Control Engineering Practice, 2009,17(12):1398-1404.
［8］Li H, Gatland H B, Green A W. Fuzzy variable structure control[J]. Systems, Man, and Cybernetics, Part B: Cybernetics, IEEE Transactions on, 1997,27(2):306-312.
［9］Duan X, Li H, Deng H. Effective tuning method for fuzzy PID with internal model control[J]. Industrial & Engineering Chemistry Research, 2008,47(21):8317-8323.
［10］邓华, 李许岗, 段小刚. 重载操作机夹钳角位移控制策略研究[J]. 控制工程, 2013,(2):235-238. Deng H ，Li X G, Duan X G . Study of control strategy for clamp angular displacement of the heavy-load forging manipulator[J]. Control Engineering of China, 2013,(2):235-238.
［11］王本永. 基于H_∞控制理论的液压三轴仿真转台控制系统研究[D]. 哈尔滨：哈尔滨工业大学, 2008.Wang B Y. Reserch on Three-Axis Hydraulic Simulation Control System Based on H_∞ Control Theory[D]. Harbin:Harbin Institute of Technology, 2008.
［12］唐彪. 基于模糊PID的Smith预估控制器及应用[D]. 长沙：中南大学, 2010.Tang B. Application of Smith Predictor based on Fuzzy-PID[D]. Changsha:Central South University, 2010.

［13］O′Dwyer A. Handbook of PI and PID Controller Tuning Rules[M]. World Scientific, 2009.

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