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New Discretization-Formula-Based Zeroing Dynamics for Real-Time Tracking Control of Serial and Parallel Manipulators

机译:新的基于离散化公式的调零动力学,用于串行和并联机械手的实时跟踪控制

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摘要

Improvement of the real-time performance of tracking control is increasingly desirable. It is a routine for most conventional algorithms that the control input at current time instant is to track the current desired output. However, lagging errors resulting from computational time and the fluctuation of the desired output exist for the tracking control. Different from conventional algorithms, a look-ahead scheme of zeroing dynamics (ZD) is established in this paper to achieve the real-time tracking control of both serial and parallel manipulators. With the exploitation of data at current time and that in history, the control inputs generated by the proposed ZD algorithms never lead to lagging errors with the source from the inevitable computational time. To tackle prediction errors for ZD algorithms, a new high-precision discretization formula, as an essential part of ZD algorithms, is presented to confine the prediction error in an ignorable range in comparison with lagging errors.
机译:越来越需要跟踪控制的实时性能。对于大多数常规算法而言,例程是当前时刻的控制输入将跟踪当前所需的输出。但是,对于跟踪控制,存在由于计算时间和期望输出的波动而导致的滞后误差。与传统算法不同,本文建立了一种归零动力学(ZD)的超前方案,以实现对串行和并行机械手的实时跟踪控制。随着当前时间和历史数据的利用,所提出的ZD算法生成的控制输入绝不会导致不可避免的计算时间与源的滞后误差。为了解决ZD算法的预测误差,提出了一种新的高精度离散化公式,作为ZD算法的重要组成部分,以将预测误差与滞后误差相比限制在可忽略的范围内。

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