首页 /研究 /Robust Adaptive Observer-Based Predictive Control for a Non-Linear Delayed Bilateral Teleoperation System
HRI

Robust Adaptive Observer-Based Predictive Control for a Non-Linear Delayed Bilateral Teleoperation System

Linping Chan, Yang Liu, Qingqing Huang, Ping Wang

发表年份
2022
引用次数
9
访问权限
开放获取

摘要

In this paper, a new robust adaptive nonlinear teleoperation system using an improved extended active observer (IEAOB), adaptive Smith predictor (ASP) and sliding mode control is developed to address the time delay in the communication channels and the nonlinear robot model uncertainties. Firstly, an ASP based on Padé approximation and active observer is designed to compensate for the time delay effect. Specifically, the total network time delay is modelled by Padé approximation, and then an active observer is deployed to estimate the time delay. To ensure the time-varying delay effect is completely suppressed, a sliding mode control algorithm is further developed. Meanwhile, the IEAOB is utilized at both the master and slave sides to deal with the nonlinear model uncertainties, it can provide an accurate robot inertial parameters and friction estimation as well as external force estimation without a structured force model in the presence of disturbances. Finally, the stability of the designed teleoperation system is theoretically studied and the system effectiveness is demonstrated by applying it to a pair of Phantom Omni haptic devices connected via a communication channel with time-varying delays.

关键词

TeleoperationControl theory (sociology)Observer (physics)Nonlinear systemComputer scienceHaptic technologyRobotSimulationControl (management)Artificial intelligence

相关论文

查看 HRI 分类全部论文