Page 58 - 《振动工程学报》2026年第3期
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第 39 卷第 3 期                       振  动  工  程  学  报                                  Vol. 39 No. 3
               2026 年 3 月                      Journal of Vibration Engineering                       Mar. 2026



                           柔性压电宏纤维致动器的偏置迟滞建模

                                              及前馈线性化控制



                            沈佳乐 , 娄军强           1,2 , 柳   丽 , 李国平 , 陈海荣 , 魏燕定                   2
                                     1
                                                                         1
                                                                                    1
                                                             1
                                       (1. 宁波大学机械工程与智能制造学院, 浙江 宁波 315211;
                                    2. 浙江大学浙江省先进制造技术重点研究实验室, 浙江 杭州 310027)

              摘要: 柔性压电宏纤维(macro fiber composite, MFC)具有柔性好且驱动精度高等优点,在仿生驱动控制领域应用广泛,但是
              MFC 固有的偏置迟滞和复合多相特性会对其致动精度及控制带来不利影响。本文建立了由多项式和 Prandtl⁃Ishlinskii (PI)
              模型级联加权的多项式 PI(polynomial Prandtl⁃Ishlinskii, PPI)迟滞模型;并基于多项式一阶导数的正负一致性,提出了保证各
              阶多项式算子任意时间序列单调变化的解析约束表达式,保证了 PPI 逆模型解的唯一性。试验结果表明,PPI 模型能够准确描
              述 MFC 的双极性偏置迟滞特性,且 MFC 迟滞环的拟合相对误差由 11.82%(经典 PI 模型)降至 2.09%(PPI 模型)。基于 PPI 逆
              模型前馈线性化控制器,柔性 MFC 致动器跟踪等幅和变幅轨迹的实际轨迹与期望轨迹基本重合,优化了柔性压电宏纤维致动
              器的驱动性能与跟踪精度,验证了所提 PPI 模型的有效性。
              关键词: 柔性压电宏纤维; 双极性偏置迟滞; 多项式; 前馈线性化
              中图分类号: TB332; TP273    文献标志码: A    DOI:10.16385/j.cnki.issn.1004-4523.202403019


                         Bias hysteresis modeling and feedforward linearization control
                                of flexible macro fiber composite (MFC) actuators


                                  1
                                                          1
                                                                                      1
                                                 1,2
                                                                      1
                        SHEN Jiale , LOU Junqiang , LIU Li , LI Guoping , CHEN Hairong , WEI Yanding  2
                    (1.School of Mechanical Engineering and Intelligent Manufacturing, Ningbo University, Ningbo 315211, China;
              2.Key Laboratory of Advanced Manufacturing Technology of Zhejiang Province, Zhejiang University, Hangzhou 310027, China)
              Abstract:  Macro  fiber  composite (MFC)  offers  excellent  flexibility  and  high  actuation  accuracy,  making  it  widely  applicable  in
              bionic  actuation.  However,  its  inherent  bias  hysteresis  and  complex  multiphase  characteristics  adversely  affect  the  actuation
              accuracy and control performance of the MFC actuator. In this paper, a polynomial Prandtl-Ishlinskii (PPI) model is proposed to
              describe  the  hysteresis  nonlinearity  of  the  MFC  actuator.  The  proposed  PPI  model  is  composed  of  two  parts:  the  weighted
              superposition of the play operators is proposed to describe the symmetric nonlinearity. And the bipolar bias nonlinearity is captured
              by the weighted superposition of the polynomial operators. To ensure the uniqueness of the inverse PPI model solution, analytical
              constraint  expressions  are  proposed  based  on  the  consistency  in  the  sign  of  the  first-order  derivatives  of  the  polynomials,
              guaranteeing  the  monotonic  variation  of  the  polynomial  operators  over  any  time  sequence.  Experimental  results  show  that  the
              relative error of the hysteresis loop is reduced from 11.82% (PI model) to 2.09% (PPI model). Based on the inverse PPI model,
              the  measured  results  under  tracking  trajectories  of  the  MFC  actuator  match  closely  with  the  desired  trajectories.  Therefore,  the
              effectiveness of the proposed PPI model and feedforward linearization method is demonstrated.

              Keywords: flexible macro fiber composite (MFC);bipolar bias hysteresis;polynomial;feedforward linearization


                  柔性结构具有质量轻、能耗低且操作方便等优                          能材料对柔性结构进行精密驱动、变形控制和振动
                                                                                        [2]
              点,在航空航天、精密工程及仿生推进系统等领域得                           抑制越来越受到人们关注 。其中,近些年出现的
                        [1]
              到广泛应用 。但是柔性结构的低刚度和弱阻尼的                            压电材料被广泛使用,其具有轻质灵活、驱动精度高
              特点导致系统定位精度和运行效率下降,故利用智                            且响应速度快等优点          [3⁃4] ,尤其是美国航天局发明的

                  收稿日期: 2024-03-08; 修订日期: 2024-04-18
                  基金项目: 国家自然科学基金资助项目(52375103);宁波大学“力学+”交叉学科领军人才创新基金资助项目(LJ2024005);
                          宁波市青年科技创新领军人才项目(2025QL064);宁波市科技创新 2025 重大专项(2025Z011)
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