Vibration Control of a Flexible Robotic Arm by Wave Absorption Based on a Lumped Dynamic Model

Author(s):  
Tangwen Yang ◽  
Yong Qin ◽  
Jianda Han
2022 ◽  
Vol 166 ◽  
pp. 108479
Author(s):  
Mohsen Amjadian ◽  
Anil K. Agrawal ◽  
Christian E. Silva ◽  
Shirley J. Dyke

2008 ◽  
Vol 2008 ◽  
pp. 1-14 ◽  
Author(s):  
Douglas Domingues Bueno ◽  
Clayton Rodrigo Marqui ◽  
Rodrigo Borges Santos ◽  
Camilo Mesquita Neto ◽  
Vicente Lopes

This paper deals with the study of algorithms for robust active vibration control in flexible structures considering uncertainties in system parameters. It became an area of enormous interest, mainly due to the countless demands of optimal performance in mechanical systems as aircraft, aerospace, and automotive structures. An important and difficult problem for designing active vibration control is to get a representative dynamic model. Generally, this model can be obtained using finite element method (FEM) or an identification method using experimental data. Actuators and sensors may affect the dynamics properties of the structure, for instance, electromechanical coupling of piezoelectric material must be considered in FEM formulation for flexible and lightly damping structure. The nonlinearities and uncertainties involved in these structures make it a difficult task, mainly for complex structures as spatial truss structures. On the other hand, by using an identification method, it is possible to obtain the dynamic model represented through a state space realization considering this coupling. This paper proposes an experimental methodology for vibration control in a 3D truss structure using PZT wafer stacks and a robust control algorithm solved by linear matrix inequalities.


2017 ◽  
Vol 9 (2) ◽  
pp. 168781401769410 ◽  
Author(s):  
Haibin Yin ◽  
Yongguang Li ◽  
Junfeng Li

This article presents a nonlinear dynamic model of a flexible robotic arm considering nonlinearity from elastic deformation and the effect of gravity. The dynamic model can be decomposed into separate flexible and rigid subsystems. A decomposed dynamic control, including flexible and rigid dynamic controls, is proposed for the controller of the flexible robotic arm. Optimization is used in this flexible dynamic control to obtain the desired trajectory and can deal offline with strong nonlinearity, but it is excessively dependent on the accuracy of the model, so it is not robust enough and has poor disturbance-rejection capabilities. The rigid dynamic control, by contrast, is expected to be sufficiently robust to compensate for uncertain factors. Therefore, a hybrid sliding mode control is proposed to track the desired trajectory and further suppress residual vibration. Additionally, the actual flexible modes are estimated to accurately calculate the component of the proposed controller. This study addresses the theoretical derivation and experimental verification of the proposed controller.


2021 ◽  
Vol 343 ◽  
pp. 08004
Author(s):  
Mihai Crenganis ◽  
Alexandru Barsan ◽  
Melania Tera ◽  
Anca Chicea

In this paper, a dynamic analysis for a 5 degree of freedom (DOF) robotic arm with serial topology is presented. The dynamic model of the robot is based on importing a tri-dimensional CAD model of the robot into Simulink®-Simscape™-Multibody™. The dynamic model of the robot in Simscape is a necessary and important step in development of the mechanical structure of the robot. The correct choice of the electric motors is made according to the resistant joint torques determined by running the dynamic analysis. One can import complete CAD assemblies, including all masses, inertias, joints, constraints, and tri-dimensional geometries, into the model block. The first step for executing a dynamic analysis is to resolve the Inverse Kinematics (IK) problem for the redundant robot. The proposed method for solving the inverse kinematic problem for this type of structure is based on a geometric approach and validated afterwards using SimScape Multibody. Solving the inverse kinematics problem is a mandatory step in the dynamic analysis of the robot, this is required to drive the robot on certain user-imposed trajectories. The dynamic model of the serial robot is necessary for the simulation of motion, analysis of the robot’s structure and design of optimal control algorithms.


2016 ◽  
Vol 44 (5) ◽  
pp. 555-565
Author(s):  
Mark Adel ◽  
Khalil Ibrahim ◽  
Abdel-Rassoul Gad ◽  
Abo El-Makarem Khalil

2020 ◽  
Vol 2020 (5) ◽  
pp. 4210-4215
Author(s):  
Monika Trojanova ◽  
Tomas Cakurda

2007 ◽  
Vol 2007.44 (0) ◽  
pp. 193-194
Author(s):  
Yasuhiko FUJIMOTO ◽  
Tetsuya KUMADA ◽  
Ryoji KAWATANI

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