A Joint-space Position Control-based Approach to Haptic Rendering of Stiff Objects using Gain Scheduling

被引:0
|
作者
Yang Wang
Lei Feng
Kjell Andersson
机构
[1] KTH-Royal Institute of Technology,Machine Design, Brinellvägen 83
来源
关键词
Haptic rendering; Gain scheduling;
D O I
暂无
中图分类号
学科分类号
摘要
Haptic rendering often deals with interactions between stiff objects. A traditional way of force computing models the interaction using a spring-damper system, which suffers from stability issues when the desired stiffness is high. Instead of computing a force, this paper continues to explore shifting the focus to rendering an interaction with no penetration, which can be accomplished by using a position controller in the joint space using the encoders as feedback directly. In order to make this approach easily adaptable to any device, an alternative way to model the dynamics of the device is also presented, which is to linearize a detailed simulation model. As a family of linearized models is used to approximate the full dynamic model of the system, it is important to have a smooth transition between multiple sets of controller gains generated based on these models. Gain scheduling is introduced to improve the performance in certain areas and a comparison among three controllers is conducted in a simulation setup.
引用
收藏
相关论文
共 8 条
  • [1] A Joint-space Position Control-based Approach to Haptic Rendering of Stiff Objects using Gain Scheduling
    Wang, Yang
    Feng, Lei
    Andersson, Kjell
    [J]. JOURNAL OF INTELLIGENT & ROBOTIC SYSTEMS, 2021, 103 (03)
  • [2] A position control-based approach to haptic rendering of stiff objects using piece-wise linear model
    Wang, Yang
    Feng, Lei
    Andersson, Kjell
    [J]. ADVANCES IN MECHANICAL ENGINEERING, 2021, 13 (12)
  • [3] A Position-Control Based Approach to Haptic Rendering of Stiff Objects
    Wang, Yang
    Feng, Lei
    Andersson, Kjell
    [J]. IEEE TRANSACTIONS ON HAPTICS, 2021, 14 (03) : 646 - 659
  • [4] Joint-Space Kinematic Control of a Bionic Continuum Manipulator in Real-Time by Using Hybrid Approach
    Mishra, Mrunal Kanti
    Samantaray, Arun Kumar
    Chakraborty, Goutam
    [J]. IEEE ACCESS, 2022, 10 : 47031 - 47050
  • [5] An Adaptive Control-Based Approach for 1-Click Gripping of Novel Objects Using a Robotic Manipulator
    Ding, Zhangchi
    Paperno, Nicholas
    Prakash, Kiran
    Behal, Aman
    [J]. IEEE TRANSACTIONS ON CONTROL SYSTEMS TECHNOLOGY, 2019, 27 (04) : 1805 - 1812
  • [6] A multistage position/force control for constrained robotic systems with friction: Joint-space decomposition, linearization, and multiobjective observer/controller synthesis using LMI formalism
    Khayati, Karim
    Bigras, Pascal
    Dessaint, Louis-A.
    [J]. IEEE TRANSACTIONS ON INDUSTRIAL ELECTRONICS, 2006, 53 (05) : 1698 - 1712
  • [7] A novel control approach of three-level VSIs using a LQR-based gain-scheduling technique
    Alepuz, S
    Bordonau, J
    Peracaula, J
    [J]. PESC 2000: 31ST ANNUAL IEEE POWER ELECTRONICS SPECIALISTS CONFERENCE, VOLS 1-3, 2000, : 743 - 748
  • [8] Robust Position Control of a Knee-Joint Rehabilitation Exoskeleton Using a Linear Matrix Inequalities-Based Design Approach
    Jenhani, Sahar
    Gritli, Hassène
    Narayan, Jyotindra
    [J]. Applied Sciences (Switzerland), 2025, 15 (01):