Extended PKM Fixturing System for Micro-Positioning and Vibration Rejection in Machining Application

被引:2
作者
Aggogeri, Francesco [1 ]
Pellegrini, Nicola [1 ]
Tagliani, Franco Luis [1 ]
机构
[1] Univ Brescia, Dept Mech & Ind Engn, Via Branze 38, I-25123 Brescia, Italy
关键词
parallel kinematic machines; flexure-based mechanism; piezoelectric actuator; vibration rejection; set-point following; TRACKING CONTROL; DYNAMIC-ANALYSIS; DESIGN; STAGE; COMPENSATION; DEFORMATIONS; MECHANISM; LAYOUT; DEVICE; TABLE;
D O I
10.3390/s21227739
中图分类号
O65 [分析化学];
学科分类号
070302 ; 081704 ;
摘要
The paper aims to present a mechatronic device able to micro-position the workpiece and to reject disturbances due to machining operation. A decoupling method is proposed for a parallel kinematic machine (PKM) fixturing platform composed by a 3-DoF flexure-based piezo-actuated mechanism. The parallel platform, with a vertical motion and two rotations, is described and its kinematics and dynamics are studied. The coupling undesirable effect is investigated based on a set of poses. To improve the quasi-static regulator model for a set-point following system, a bump less switching controller and a fine-tuning procedure, to estimate the parameter uncertainty and enable the external disturbance containment in an extended broadband frequency range, are presented. The platform and the piezo-actuator controllers are modelled based on a gain scheduling, standard ISA form method, to guarantee the stability. The accuracy is demonstrated through a set of simulations and experimental comparisons. A sensitivity analysis that evaluates the tracking performance and the disturbance rejection based on the number of signal amplitudes, frequencies, and phases is discussed. A validation phase has shown that the developed architecture presents a steady state error lower than 1.2 mu m, a vibration reduction of 96% at 1130 Hz with a maximum resolving time of 6.60 ms.
引用
收藏
页数:18
相关论文
共 47 条
[41]   Vibration suppression of thin-walled workpiece milling using a time-space varying PD control method via piezoelectric actuator [J].
Wang, Shuyu ;
Song, Qinghua ;
Liu, Zhanqiang .
INTERNATIONAL JOURNAL OF ADVANCED MANUFACTURING TECHNOLOGY, 2019, 105 (7-8) :2843-2856
[42]   Active vibration control of thin-walled milling based on ANFIS parameter optimization [J].
Wang, Xiaojuan ;
Song, Qinghua ;
Gupta, Munish Kumar ;
Liu, Zhanqiang .
INTERNATIONAL JOURNAL OF ADVANCED MANUFACTURING TECHNOLOGY, 2021, 114 (1-2) :563-577
[43]   High-accuracy tracking of piezoelectric positioning stage by using iterative learning controller plus PI control [J].
Yan, Gang-feng ;
Fang, Hong ;
Meng, Fei .
JOURNAL OF THE BRAZILIAN SOCIETY OF MECHANICAL SCIENCES AND ENGINEERING, 2019, 41 (10)
[44]   Milling vibration attenuation by eddy current damping [J].
Yang, Yiqing ;
Xu, Dongdong ;
Liu, Qiang .
INTERNATIONAL JOURNAL OF ADVANCED MANUFACTURING TECHNOLOGY, 2015, 81 (1-4) :445-454
[45]   Kinematics analysis and workspace investigation of a novel 2-DOF parallel manipulator applied in vehicle driving simulator [J].
Zhang, Chen ;
Zhang, Liyan .
ROBOTICS AND COMPUTER-INTEGRATED MANUFACTURING, 2013, 29 (04) :113-120
[46]   Investigation of a 3-DOF micro-positioning table for surface grinding [J].
Zhang, D. ;
Chetwynd, D. G. ;
Liu, X. ;
Tian, Y. .
INTERNATIONAL JOURNAL OF MECHANICAL SCIENCES, 2006, 48 (12) :1401-1408
[47]   Vibration error-based trajectory planning of a 5-dof hybrid machine tool [J].
Zhao, Yanqin ;
Mei, Jiangping ;
Niu, Wentie .
ROBOTICS AND COMPUTER-INTEGRATED MANUFACTURING, 2021, 69