Design of a Model-Free Cross-Coupled Controller with Application to Robotic NOTES

被引:7
|
作者
Shen, Tao [1 ]
Nelson, Carl A. [1 ]
Bradley, Justin [2 ]
机构
[1] Univ Nebraska, Dept Mech & Mat Engn, Lincoln, NE 68588 USA
[2] Univ Nebraska, Dept Comp Sci & Engn, Lincoln, NE 68588 USA
基金
美国国家卫生研究院;
关键词
Model-free control; Cross-coupled control; Motion synchronization; Adaptive gain; Balance scaling; NOTES robot; SYNCHRONIZATION; TRACKING; SYSTEMS;
D O I
10.1007/s10846-018-0836-2
中图分类号
TP18 [人工智能理论];
学科分类号
081104 ; 0812 ; 0835 ; 1405 ;
摘要
Cross-coupled synchronization is an effective method of controlling an articulated robot especially in applications with restrictive requirements and low tolerance to error. Model-free methods of cross-coupled synchronization provide similar performance in cases where models are difficult or impossible to obtain. Here a novel model-free cross-coupled adaptive synchronization method is developed and applied to a Natural Orifice Transluminal Endoscopic Surgery (NOTES) robot - where reducing contour error has the important benefit of reducing the risk of surgical error and improving patient outcomes. To accomplish this, a baseline model-free cross coupled strategy is used, and an adaptive control gain and a balance scaling factor are used to improve the performance. Experiments are then performed validating the functionality and effectiveness of the controller using a NOTES robot. The results show significant improvement in decreasing contour error when compared with similar methods.
引用
收藏
页码:473 / 489
页数:17
相关论文
共 50 条
  • [21] A Recursive Tuning Approach for the Model-Free PID Controller Design
    Wang, Jiadong
    Zhang, Yanhui
    Jin, Xiaoming
    Su, Hongye
    IFAC PAPERSONLINE, 2018, 51 (04): : 143 - 147
  • [22] Design of a model-free controller based on predictive functional control
    Ashida, Yoichiro
    Katayama, Masaru
    ELECTRONICS AND COMMUNICATIONS IN JAPAN, 2024, 107 (01)
  • [23] Design of a Model-Free Controller based on Predictive Functional Control
    Ashida Y.
    Katayama M.
    IEEJ Transactions on Electronics, Information and Systems, 2024, 144 (01) : 15 - 20
  • [24] Controller Design Automation for Power Electronics: A Model-Free Approach
    Li, Wanrong
    Li, Sinan
    Yuan, Huawei
    Zhang, Yuhan
    Zhu, Jianguo
    IEEE TRANSACTIONS ON POWER ELECTRONICS, 2024, 39 (02) : 2155 - 2168
  • [25] Model-free subspace approach to NLQG controller design using bilinear model
    Rahmani, Saman
    Khaloozadeh, Hamid
    Khaki-Sedigh, Ali
    2017 25TH IRANIAN CONFERENCE ON ELECTRICAL ENGINEERING (ICEE), 2017, : 912 - 916
  • [26] Application of Model-free Adaptive Controller for Multivariable System with Time Delays
    Zheng Enrang
    Sun Liqiang
    Xie Yongqing
    CURRENT DEVELOPMENT OF MECHANICAL ENGINEERING AND ENERGY, PTS 1 AND 2, 2014, 494-495 : 1202 - 1205
  • [27] Model-free recursive LQ controller design (learning LQ control)
    Kawamura, Y
    Nakano, M
    Yamamoto, H
    INTERNATIONAL JOURNAL OF ADAPTIVE CONTROL AND SIGNAL PROCESSING, 2004, 18 (07) : 551 - 570
  • [28] Reinforcement Learning-Based Model-Free Controller for Feedback Stabilization of Robotic Systems
    Singh, Rupam
    Bhushan, Bharat
    IEEE TRANSACTIONS ON NEURAL NETWORKS AND LEARNING SYSTEMS, 2023, 34 (10) : 7059 - 7073
  • [29] Observer-based model-free controller for the perturbations estimation and attenuation in robotic plants
    de Jesus Rubio, Jose
    Hernandez, Mario Alberto
    Orozco, Eduardo
    Cordova, Daniel Andres
    Zacarias, Alejandro
    Pacheco, Jaime
    ROBOTICS AND AUTONOMOUS SYSTEMS, 2024, 177
  • [30] Optimal Tuning of Biaxial Servomechanisms Using a Cross-coupled Controller
    Bae, Ho-Kyu
    Chung, Sung-Chong
    TRANSACTIONS OF THE KOREAN SOCIETY OF MECHANICAL ENGINEERS A, 2006, 30 (10) : 1209 - 1218