多压电驱动机构机电耦合动力学建模与过驱动控制
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1.重庆大学高端装备机械传动全国重点实验室重庆400044; 2.重庆大学机械与运载工程学院重庆400044; 3.苏州大学机电工程学院苏州215131

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TP273+.1TN384TH751

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国家重点研发计划(2022YFB3206700)、国家自然科学基金(52475510)项目资助


Electromechanical coupling dynamics modeling and over-actuation control of multi-piezoelectric drive mechanism
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1.State Key Laboratory of Mechanical Transmissions for Advanced Equipment, Chongqing University, Chongqing 400044, China; 2.College of Mechanical and Vehicle Engineering, Chongqing University, Chongqing 400044, China; 3.School of Mechanical and Electrical Engineering, Soochow University, Suzhou 215131, China

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    摘要:

    多压电驱动是突破纳米压电驱动机构位移行程限制的有效方案,但多压电驱动机构存在固有迟滞非线性、压电驱动之间耦合、非线性与线性耦合、过驱动冗余等问题。针对以上挑战,提出一种多压电并行驱动机构的机电耦合动力学建模与过驱动控制策略。首先,建立 Hammerstein 结构的机电耦合动力学模型,分别描述多压电驱动机构线性和非线性特性,并相应提出模型线性部分和非线性部分的参数估计方法。其次,提出综合反馈线性化、控制分配算法、上层控制律的总体过驱动控制策略,尤其是提出一种最小二乘控制分配算法,通过分配控制量实现误差序列二范数最小。最后,对所提出的建模与控制方法,分别进行了参数估计实验与过驱动控制实验。其中参数估计实验结果表明所提出的模型输出曲线能够很好拟合多压电驱动机构实验输出曲线,能够有效描述多压电驱动机构迟滞非线性输入输出特性,所提出的参数估计方法能准确估计模型参数。过驱动控制实验结果表明所提出的最小二乘控制分配算法的轨迹跟踪性能优于直接分配和最优分配,特别是期望轨迹为幅值130 μm、频率10 Hz的正弦信号时,所提出的最小二乘控制分配算法的精度比直接分配算法提高了56.63%,比最优分配算法提高了47.83%。

    Abstract:

    Multi-piezoelectric drive is an effective scheme to break through the displacement travel limit of nano-piezoelectric drive mechanism. However, there are some problems such as inherent hysteresis nonlinearity, piezoelectric drives intercoupling, nonlinear and linear coupling, overdrive redundancy and so on. Inspired by those challenges, this paper presents an electromechanical coupling dynamics modeling and overdrive control strategy of a multi-piezoelectric parallel driving mechanism. Firstly, an Hammerstein electromechanical coupling dynamics model is built to separate and describe the linear and nonlinear characteristics of the multipiezoelectric drive mechanism. Meanwhile, it is proposed that the parameter estimation method for the linear and nonlinear parts of the model. Secondly, it proposes a comprehensive overdrive control strategy, which integrates feedback linearization, control distribution algorithm, and upper level control rate. Especially, the proposed least square control distribution algorithm can minimize the 2-norm of error sequence. Finally, parameter estimation experiments and over-actuated control experiments were carried out for the proposed modeling and control methods. The results of the parameter estimation experiments showed that the proposed model′s output curve closely matched the experimental output curve of the multi-piezoelectric driving mechanism, effectively describing its hysteretic nonlinear input-output characteristics. The results of the over-actuated control experiments demonstrated that the trajectory tracking performance of the proposed least squares control allocation algorithm was superior to both direct allocation algorithm and optimal allocation algorithm. Specifically, when the desired trajectory was a sinusoidal signal with an amplitude of 130 μm and a frequency of 10 Hz, the accuracy of the proposed least squares control allocation algorithm was 56.63% higher than that of the direct allocation algorithm and 47.83% higher than that of the optimal allocation algorithm.

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黄涛,王迎斌,林志成,凌明祥.多压电驱动机构机电耦合动力学建模与过驱动控制[J].仪器仪表学报,2025,46(4):346-354

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  • 在线发布日期: 2025-06-23
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