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基于反推自适应控制的永磁同步电机摩擦力矩补偿策略

, PP. 76-84

Keywords: 永磁同步电机,摩擦力矩,自适应控制,反推,稳定性分析

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Abstract:

非线性摩擦力矩使永磁同步电机在低速运行时出现爬行现象,严重影响电机低速性能。根据永磁同步电机数学模型及LuGre摩擦力矩模型,引入虚拟控制器概念,从转速方程出发,结合自适应控制和反推设计法,设计反推自适应转速控制器和电流控制器;通过对摩擦力矩和负载力矩进行分离,实现对摩擦力矩的针对性补偿。采用李雅普诺夫(Lyapunov)稳定性理论对反推自适应转速控制器和电流控制器进行稳定性分析,得出使系统稳定的控制器参数取值范围。对所提出的控制器进行仿真分析和实验验证,结果表明新控制器对摩擦力矩有一定的补偿作用,可缓解电机低速转速的脉动现象。在满足系统性能指标的同时,可以有效削弱摩擦力矩对永磁同步电机低速运行性能的不利影响。

References

[1]  Kim M S,Chung S C.Friction identification of ball-screw driven servomechatronic through the limit cycle analysis [J].Mechatronics,2006,16(2):131-140.
[2]  张红娟,权龙,程珩.永磁同步电动机驱动泵控缸系统抗扰研究[J].中国电机工程学报,2010,30(33):84-89.Zhang Hongjuan,Quan Long,Cheng Hang.Research on anti-disturbance performance of permanent magnet synchronous motor driven pump controlled cylinder system[J].Proceedings of the CSEE,2010,30(33):84-89(in Chinese).
[3]  Song G,Wang Y.A sliding-mode based smooth adaptive robust controller for friction compensation[C]//American control Conference.Seattle,USA:IEEE,1995:3531-3535.
[4]  Kim Y H,Lewis F L.Reinforcement adaptive learning neural net based friction compensation control for high speed and precision[J].IEEE Transactions on Control Systems Technology,2000,8(1):118-126.
[5]  Amin J,Friedland B,Harnoy A.Implementation of a friction estimation and compensation technique[J].IEEE Control Systems Magazine,1997,17(4):71-76.
[6]  李书训,姚郁.无刷直流电动机系统的一种摩擦补偿方法研究[J].哈尔滨工业大学学报,2001,33(1):55-59.Li Shuxun,Yao Yu.Compensation of friction in brushless DC motor system[J].Journal of Harbin Institute of Technology,2001,33(1):55-59(in Chinese).
[7]  Lee T H,Tan K K,Huang Sunan.Adaptive friction compensation with a dynamical friction model [J].IEEE/ASME Transactions on Mechatronics,2011,16(1):133-140.
[8]  Colhour T G,Nair S S.Accurate estimation of friction[C]//American Control Conference.Columbia,USA:IEEE,1994:1188-1189.
[9]  叶军.伺服系统在摩擦条件下的模拟复合正交神经网络控制[J].中国电机工程学报,2005,25(17):127-130.Ye Jun.An analog compound orthogonal neural network control of the servo system in friction condition [J].Proceedings of the CSEE,2005,25(17):127-130(in Chinese).
[10]  Huang Sunan,Tan K K.Intelligent friction modeling and compensation using neural network approximations [J].IEEE Transactions on Industrial Electronics,2012,59(8):3342-3349.
[11]  Huang C Y, Chen T C,Huang C L.Robust control of induction motor with a neural-network load torque estimator and a neural-network identification[J].IEEE Transactions on Industrial Electronics,1999,46(5):990-998.
[12]  Liu Huixian,Li Shihua.Speed control for PMSM servo system using predictive functional control and extended state observer[J].IEEE Transactions on Industrial Electronics,2012,59(2):1171-1183.
[13]  Li Shihua,Zong Kai,Liu Huixian.A composite speed controller based on a second-order model of permanent magnet synchronousmotor system[J].Transactions of the Institute of Measurement and Control,2011,33(5):522-541.
[14]  Minh T N, Ohishi K,Takata M,et al.Adaptive friction compensation design for submicrometer positioning of high precision stage[C]//4th IEEE International Conference on Mechatronics.Kumamoto,Japan:IEEE,2007:1-6.
[15]  Tan Yaolong,Chang Jie,Tan Hualin.Adaptive backstepping control and friction compensation for AC servo with inertia and load uncertainties[J].IEEE Transactions on Industrial Electronics,2003,50(5):944-952.
[16]  Wang Xingjian,Wang Shaoping,Yao Bin.Adaptive robust control of linear electrical loading system with dynamic friction compensation[C]//2010 IEEE/ASME International Conference on Advanced Intelligent Mechatronics.Montréal,Canada:IEEE,2010:908-913.
[17]  Mostefai L,Denai M,Hori Y.Robust tracking controller design with uncertain friction compensation based on a local modeling approach[J].IEEE/ASME Transactions on Mechatronics,2010,15(5):746-756.
[18]  Armstrong-Hélouvry B,Dupont P,Canudas C.A survey of models, analysis tools and compensation methods for the control of machines with friction[J].Automatica,1994,30(7):1083-1138.
[19]  Canudas de Wit C,Olsson H,Lischinsky P,et al.A new model for control of systems with friction[J].IEEE Transactions on Automatic Control,1995,40(3):419-425.
[20]  Armstrong-Hélouvry B,Amin B.PID control in the presence of static friction- A comparison of algebraic and describing function analysis[J].Automatic,1996,32(5):679-692.
[21]  姚建勇,焦宗夏.改进型LuGre模型的负载模拟器摩擦补偿[J].北京航空航天大学报,2010,36(7):812-815.Yao Jianyong,Jiao Zongxia.Friction compensation for hydraulic load simulator based on improved LuGre friction model[J].Journal of Beijing University of Aeronautics and Astronautics,2010,36(7):812-815(in Chinese).
[22]  谭文斌,李醒飞,向红标,等.修正黏性摩擦的LuGre模型的摩擦补偿[J].天津大学学报,2012,45(9):824-828.Tan Wenbin,Li Xingfei,Xiang Hongbiao,et al.Friction compensation based on LuGre model with modified viscous friction[J].Journal of Tianjin University,2012,45(9):824-828(in Chinese).
[23]  Lai C Y,Lewis F L,Ren Xuemei,et al.Disturbance and friction compensations in hard disk drives using neural networks[J].IEEE Transactions on Industrial Electronics,2010,57(2):784-792.
[24]  Herrmann G,Lewis F L,Ge S S,et al.Disturbance compensation for servo-control applications using a discrete adaptive neural network feedforward method[C]// Proceedings of the 64th IEEE Conference Decision and Control.New Orleans,USA:IEEE,2007:5965-5972.
[25]  Park S H,Han S I.Robust-tracking control for robot manipulator with deadzone and friction using backstepping and RFNN controller[J].IET Control Theory and Applications,2011,5(12):1397-1417.
[26]  Li Shihua,Gu Hao.Fuzzy adaptive internal model control schemes for PMSM speed-regulation system[J].IEEE Transactions on Industrial Informatics,2012,8(4):767-779.

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