Time Delay-Free Nonlinear Bilateral Teleoperation With Model-Based Predictive Display

Vicente Parra‐Vega
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Abstract

Robotic teleoperation is a difficult task because of the inherent difficulty to model and control time-delay nonlinear models. In order to handle tractable models, typically there have been two ways to tackle this problem: i) The first approach is to assume that the system is fast enough and thus the time delay can be neglected, in this way time-delay-free differential equations are obtained such that the controller is time-delay-free. This approach needs further formal study to validate this assumption, and so far there is neither strict nor rigorous result that support this claim, when considering the full nonlinear telerobotic dyanmics. ii) In the second approach, the time delay is considered explicitly, however typically nonlinear dynamics is neglected and then linear models are used to derive time-delay-based control systems. The second approach ignores that the robots are nonlinear systems with strong nonlinear inertial couplings, and therefore controllers based on linear time-delay models render low performance. In this paper, the teleoperation of robots is modeled, including nonlinear dynamics in the continuous domain, without any time delay, and model-based nonlinear continuous second order sliding mode controllers are proposed which guarantee finite-time convergence. Thus, this approach attempts to propose a scheme for the second approach outlined above. The teleoperation system provides force reflection to the human operator, and a kinematic-based predictive display yields visual stimuli while the master robot yields kinesthetic feedback to the operator to allow planning better desired trajectories, including contact forces, in contrast to other predictive displays that have been proposed in the literature. Therefore, the theoretical foundations of finite-time convergent telecontrol system and its advantages are discussed.
基于模型预测显示的无时延非线性双侧遥操作
由于对时滞非线性模型的建模和控制存在固有的困难,机器人遥操作是一项艰巨的任务。为了处理可处理的模型,通常有两种方法来解决这个问题:i)第一种方法是假设系统足够快,因此可以忽略时间延迟,通过这种方式获得无时滞微分方程,使控制器无时滞。这种方法需要进一步的正式研究来验证这一假设,到目前为止,当考虑到全非线性遥控机器人动力学时,既没有严格的结果也没有严格的结果来支持这一说法。ii)在第二种方法中,明确考虑了时间延迟,但通常忽略了非线性动力学,然后使用线性模型来推导基于时间延迟的控制系统。第二种方法忽略了机器人是具有强非线性惯性耦合的非线性系统,因此基于线性时滞模型的控制器性能较低。本文对机器人的遥操作建模,包括连续域的非线性动力学,无任何时间延迟,并提出了基于模型的非线性连续二阶滑模控制器,保证有限时间收敛。因此,这种方法试图为上述第二种方法提出一种方案。与文献中提出的其他预测显示相比,远程操作系统为人类操作员提供力反射,基于运动学的预测显示产生视觉刺激,而主机器人向操作员产生动觉反馈,以允许规划更好的期望轨迹,包括接触力。因此,讨论了有限时间收敛远控系统的理论基础及其优点。
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