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1.华东理工大学 机械与动力工程学院, 上海 200237
2.美国哥伦比亚大学 机械工程系, 美国 纽约 10027
3.萨斯喀彻温大学 机械工程系, 加拿大 萨斯卡通 250101
[ "刘长利(1974-), 男, 内蒙古包头人, 博士, 副教授, 1998年于东北大学获得硕士学位, 2004年于东北大学获得博士学位, 主要从事机械系统动力学分析、机械电子方面的研究。E-mail:clliu@ecust.edu.cn" ]
胡守柱(1990-), 男, 江苏南京人, 硕士研究生, 2016年于华东理工大学获得硕士学位, 主要从事压电陶瓷驱动系统、微动平台系统研究。E-mail:sozohu@163.com HU Shou-zhu, E-mail: sozohu@163.com
收稿日期:2016-04-10,
录用日期:2016-5-27,
纸质出版日期:2016-09
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刘长利, 胡守柱, 郭海林, 等. 叠堆式压电陶瓷驱动器的复合控制[J]. 光学精密工程, 2016,24(9):2248-2254.
Chang-li LIU, Shou-zhu HU, Hai-lin GUO, et al. Feed-forward control of stack piezoelectric actuator[J]. Optics and precision engineering, 2016, 24(9): 2248-2254.
刘长利, 胡守柱, 郭海林, 等. 叠堆式压电陶瓷驱动器的复合控制[J]. 光学精密工程, 2016,24(9):2248-2254. DOI: 10.3788/OPE.20162409.2248.
Chang-li LIU, Shou-zhu HU, Hai-lin GUO, et al. Feed-forward control of stack piezoelectric actuator[J]. Optics and precision engineering, 2016, 24(9): 2248-2254. DOI: 10.3788/OPE.20162409.2248.
提出了逆Bouc-Wen前馈控制与反馈控制相结合的复合控制算法,用于改善压电陶瓷驱动器对目标轨迹的跟踪性能。建立了压电陶瓷驱动器的Bouc-Wen迟滞动力学模型,并用粒子群算法(PSO)对该模型的参数进行识别。基于Bouc-Wen迟滞模型,提出了逆Bouc-Wen前馈补偿控制。最后,为消除迟滞模型的不确定性,引入比例积分(PI)反馈控制,并与前馈补偿控制构成复合控制算法。建立了基于dSPACE实时系统的压电陶瓷驱动实验平台,迟滞实验结果表明:压电陶瓷的迟滞误差量几乎为0,线性度高达96.5%;目标轨迹跟踪实验结果表明:复合控制算法的最大跟踪误差为0.180 5
μ
m,均方根(RMS-Root mean square)跟踪误差为0.055 4
μ
m,跟踪精度达到了10
-8
m。相比于开环控制、前馈控制及PI反馈控制,提出的复合控制算法能够基本消除压电陶瓷的迟滞非线性,同时具有很好的轨迹跟踪性能。
A novel inverse feedforward control algorithm was developed based on inverse Bouc-Wen feed-forward control and feedback control for improving the trajectory tracking performance of a Piezoelectric Actuator (PEA). A Bouc-Wen hysteresis dynamic modeling for the PEA was established
and system parameters of the Bouc-Wen model were identified by Particle Swarm Optimization (PSO) method. Then
a feed-forward compensation control method was proposed based on hysteresis Bouc-Wen model. Finally
the inverse feed-forward control method combining the PI feedback control with feed-forward control were proposed to control the piezoelectric actuator. An experimental platform was developed based on dSPACE system. The hysteresis experiment results show that the hysteresis error and relative linearity of the proposed method is almost zero and 96.5%
respectively. The trajectory tracking experimental results show that the maximum tracking error and RMS tracking error of the proposed method are 0.180 5
μ
m and 0.055 4
μ
m
respectively
obtaining the high tracking performance by 10
-8
m. As compared with open loop control
feedforward control
PI feedback control
the proposed inverse feedforward control algorithm compensates basically hysteresis nonlinearity of the PEAs and shows good trajectory tracking performance.
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CHEN X, LI Y. A modified PSO structure resulting in high exploration ability with convergence guaranteed[J]. IEEE Transaction on Cybernetics, 2007, 37(5):1271-1289.
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