力反馈时延遥操作系统的时延相关稳定性分析

当力反馈双边控制系统的主从端之间存在时延时,系统的稳定性和透明性会遭到破坏.无源性方法能保证系统的时延无关稳定性,但由于稳定性和透明性冲突,系统的透明性较差.本文利用绝对稳定性理论推导出一种新的双边控制算法.它以时延相关稳定性代替时延无关稳定性作为控制设计的目标,牺牲一部分不必要的稳定裕度以改善系统的透明性.它在保证系统稳定性的前提下使系统具有更好的透明性,最后用仿真进行了验证.     

基于波变量的时延双边遥操作系统设计

针对波变量法在任意时延下能保证时延双边遥操作系统的稳定,但却降低主从端之间跟踪性的问题,提出一种改进基于波变量遥操作系统的设计方案;该方案引入PD控制器调整主从端速度误差,并采用PI控制器控制从端;最后,对调整和未调整的基于波变量双边遥操作系统分别进行仿真实验;实验结果表明,与未调整的系统相比,调整的系统在一定程度上极大地降低了主从端位置、速度和力的跟踪误差,使得该方案在保证系统稳定的前提下有效提高了系统透明性。     

空间遥操作机器人主从双边自适应内模控制

天地大时延严重破坏具有力反馈的空间遥操作机器人系统的稳定性和透明性;针对天地大时延和未知的从手操作环境,基于内模控制和自适应控制思想设计一种自适应内模控制器;推导从手环境参数辨识模型,基于带遗忘因子的递推最小二乘滤波辨识环境模型,并利用辨识信息构建自适应内模控制器;基于单参数SNPIDC算法分别设计主手和从手自适应控制器;大量的仿真结果证明,在设计的主从双边自适应内模控制器作用下,空间遥操作机器人系统稳定性好,对未知环境适应能力强,系统透明性好,阻抗匹配程度高,且操作人员临场感强。     

大时延力反馈双边控制系统

阐述了力反馈双边控制遥操作的基本思想,讨论了其稳定性和透明性,介绍了一种既能保证稳定性、又能提高透明性的力反馈双边控制方法．最后给出了力反馈遥操作实验系统的实现,在6s时延条件下成功完成了曲面跟踪任务．     

无环境力反馈的四通道双边控制

传统的四通道双边控制方法需要大量的力传感器,用以检测遥操作系统受到的环境力,在实际工程中不易推广应用.本文提出了一种无环境力反馈的四通道双边控制策略,分析了无时延和有时延两种情况下遥操作系统的透明性.并采用无源的双边控制律,设计了大时延情形下的系统控制结构.仿真结果表明,存在大时延时,提出的控制系统在自由运动和接触运动...     

基于波变量补偿的阻抗匹配时延双边遥操作

通信时延是遥操作系统中固有的问题,它会严重影响遥操作的性能,降低系统的稳定性和跟踪性。基于无源理论的波变量法可以保证遥操作系统在任意时延下稳定,是解决时延问题的一个重要方法。然而,波变量法带来的波反射会阻扰有用信号的传输,降低了主从端信号的跟踪性,严重时甚至会导致整个系统振荡。针对这一问题,提出了一种基于波变量补偿的阻抗匹配双边遥操作系统结构,旨在减少波反射,提高操作者的临场感和系统的跟踪性。通过仿真实验,结果表明所提方法能够保证固定时延条件下遥操作系统的稳定性,并具有较好的跟踪性。     

具有时变通信延迟的多智能体系统改进蜂拥控制

针对不确定非线性二阶多智能体系统中存在的时变通信时延和未知干扰问题,提出了一种鲁棒自适应蜂拥控制规律。为了使二阶多智能体系统能够具有更好的抗干扰能力,设计了基于智能体位置状态信息和速度状态信息的鲁棒自适应算子,实现了系统在时变通信时延扰动下的分布控制。通过使用Lyapunov-Krasovskii方法构造能量函数,证明了多智能体系统的网络连通性,智能体的速度收敛于虚拟领导者的速度,并给出了具有时变通信时延的多智能体系统收敛条件。仿真实验结果表明,在不同干扰强度和不同通信时延下系统均能实现快速收敛,形成稳定的拓扑结构,证明所提方法正确有效。     

无源散射变换的双边移动机器人网络遥操作

网络遥操作系统的随机时延给控制器设计带来巨大挑战,严重时破坏系统的稳定性。首先对遥操作无源理论及其波变量控制方法做了简单综述,然后提出直接无源散射变换方法,它将无源双边控制方法推广到具有随机时延的网络遥操作系统中去,保证网络遥操作系统在任何不对称随机网络时延情况下稳定。最后基于此变换方法设计了一个虚拟主从手双边移动机器人网络遥操作方案,并进行了仿真验证,结果表明结出的设计方法能满足系统性能要求。     

变时延力反馈遥操作机器人系统的内模控制

针对遥操作机器人通讯信道变化时延破坏系统稳定性和透明性的问题,为力反馈遥操作系统建立了内模控制结构,设计了两端控制器,并给出了有界时延摄动下系统鲁棒稳定和满足鲁棒性能准则的控制器参数范围,使系统在变时延下依然稳定并具有良好的透明性．给出的控制方法不仅对时延状况适应性强,而且控制器参数少,相关度低,依据不同性能要求进行选取的灵活性大．     

遥操作机器人系统带记忆的鲁棒反馈控制

针对遥操作机器人系统的通信通道中存在通信时延，以及机器人模型存在不确定性，可能造成系统不稳定和操作性能降低的问题，提出在环境模型未知的条件下，利用鲁棒控制理论，采用力、位置和速度反馈的控制方法，使得系统稳定，并且具有良好的透明性，控制参数可通过Matlab的LMI工具箱方便地求取，仿真结果表明了该方法的有效性。     

A novel approach for stability and transparency control of nonlinear bilateral teleoperation system with time delays

In this paper, a novel control approach is presented to improve the stability and transparency of the nonlinear bilateral teleoperation system with time delays, where a four-channel (4-CH) architecture using modified wave reflection reduction transformation is explored in order to guarantee the passivity of the communication channels in the nonlinear bilateral teleoperation system; a sliding-mode controller is proposed to compensate for the dynamic uncertainties and enhance the system synchronization performance in finite time. The system stability has been analyzed using Lyapunov functions. The proposed method is validated through experimental work based on a 3-DOF bilateral teleoperation platform in the presence of time delays. The experimental results clearly demonstrate that the proposed control algorithm has superiority on system transparency over other wave-based systems.     

Adaptive passive control with varying time delay

This paper presents a passive control scheme for a force reflecting bilateral teleoperation system with a varying time communication delay. To improve the stability and performance of the system, the master and slave must be coupled dynamically via a transmission network through which the force and velocity are communicated bilaterally. However, the time delay caused by various factors, such as the transmission distance, network congestion, and communication bandwidth, is a long-standing impediment to bilateral control that can destabilize the system. In this study, we investigated how a varying time delay affects the stability of a teleoperation system. A new optimal adaptive approach based on a passive control scheme was designed bilaterally for both the master and slave sites. Extra variables were transmitted together with the wave variables in the scattering system. The proposed scheme achieved both passive control, and an acceptable tracking performance. The tracking performance was demonstrated using a computer simulation of varying time delays in a bilateral teleoperation system.     

Adaptive wave variables for bilateral teleoperation using neural networks

Stability and transparency determine the performance of bilateral teleoperation systems. Previous studies on passivity-based control focused on stability such that the results of the study are robust in terms of the time delay issue. But there are not sufficient studies on performance analysis based on environmental elements related to transparency. This paper suggests an adaptive wave transformation system where stability is secured by controlling characteristic impedance in the existing wave variables system adaptively according to time delay and environmental elements and simultaneously ensuring a proper dynamic performance depending on external force. Neural network was utilized to design the system that enables controlling the characteristic impedance depending on external factors such as time delay and comparison with the existing wave variables.     

Adaptive controller of a master–slave system for transparent teleoperation

This article presents an adaptive control scheme based on position-force architecture to achieve the stability and transparency for teleoperation in unknown or varying environments. Without any knowledge about the parameters of the slave robot and environment dynamics, the proposed scheme guarantees the robustness to the parameter uncertainties of the master robot as well as the stability of the whole teleoperation system. Numerical simulations are presented to demonstrate the transparency and robustness to the parameter uncertainties of the master robot. Experimental results to a master–slave system show the validity of the proposed scheme. © 1998 John Wiley & Sons, Inc.     

Robust Output Feedback Controller Design for Time‐Delayed Teleoperation: Experimental Results

In this paper, a robust output feedback control strategy is proposed for a nonlinear teleoperation system which can deal with stability as well as transparency despite the variable time‐delay and uncertain dynamics. The proposed approach is composed of two steps. First, local Lyapunov based adaptive controllers are applied to both master and slave sides in order to suppress the nonlinearities in the system dynamics. Afterwards, a new observer‐based controller scheme is proposed to achieve stability and performance (transparency) of the teleoperation system. Using the Lyapunov techniques, stability and performance objectives are cast as some linear matrix inequality (LMI) feasibility conditions. To evaluate the performance of the proposed controller, a set of simulations and experiments are performed. Through simulation results, it is demonstrated that the proposed approach significantly outperforms the existing methodologies reported in the literature.     

预估控制下的实时网络遥操作移动机器人

构建了能使操作者通过Internet远程实时控制的移动机器人系统．为了补偿网络时延和抵消其对遥操作系统的影响，基于我们以前提出的改进型Smith预估器原理，采用了预估控制策略．为了保证系统稳定性和透明性，基于主从端的传感器信息交换，设计了一个动态模型管理器，其中模型和力反馈误差调节通过模糊控制实现．除了力反馈外，为了增强遥操作的实时性，引入了预估的虚拟显示．为了精确地预测网络时延，提出了一个新颖的时钟同步算法．为了降低时延抖动，结合我们提出的两个算法，实现了数据缓冲策略．最后，通过长距离的网络遥操作实验验证了系统和控制策略的实用性和有效性．     

Teleoperation Control of a Position‐Based Impedance Force Controlled Mobile Robot by Neural Network Learning: Experimental Studies

Effective haptic performance in teleoperation control systems can be achieved by solving two major problems: the time‐delay in communication channels and the transparency of force control. The time‐delay in communication channels causes poor performance and even instability in a system. The transparency of force feedback is important for an operator to improve the performance of a given task. This article suggests a possible solution for these two problems through the implementation of a teleoperation control system between the master haptic device and the slave mobile robot. Regulation of the contact force in the slave mobile robot is achieved by introducing a position‐based impedance force control scheme in the slave robot. The time‐delay problem is addressed by forming a Smith predictor configuration in the teleoperation control environment. The configuration of the Smith predictor structure takes the time‐delay term out of the characteristic equation in order to make the system stable when the system model is given a priori. Since the Smith predictor is formulated from exact linear modeling, a neural network is employed to identify and model the slave robot system as a nonlinear model estimator. Simulation studies of several control schemes are performed. Experimental studies are conducted to verify the performance of the proposed control scheme by regulating the contact force of a mobile robot through the master haptic device.     

基于事件触发的Buck型DC-DC变换器有限时间控制

针对Buck型DC-DC变换器输出电压跟踪控制问题,提出了一种基于事件触发机制的有限时间控制方案。首先,将Buck变换器建模成一类反馈型非线性系统。然后,为能有效地避免通信资源的浪费,通过构造一种状态变换设计了一种事件触发机制;同时,利用反步法,设计了系统的状态反馈控制器,该控制器在事件触发时刻更新;然后,基于所设计的事件触发控制器,利用有限时间Lyapunov稳定性理论分析了系统的稳定性,并证明了所设计的控制方案不会发生Zeno现象;最后,通过Buck变换器仿真实例验证了所提出的事件触发控制方案的有效性,仿真结果表明了在所设计的控制方案下,Buck型DC-DC变换器的输出在有限时间内可以达到期望值,同时还能减少通信资源的浪费。     

时延遥操作的主端命令预测波控制

在传统的波控制器的基础上,用线性两点预测与五点二次预测凸联合的方法对主端的命令与反馈力进行在线预测。仿真结果表明,只要对时延的辨识足够精确,该方法能够在保证系统稳定的前提下一定程度上提高系统的操作性能。