机器人机械手跟踪控制的鲁棒自适应新算法

C. Huang, X. Peng, X. G. Wang, S. Shi
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引用次数: 1

摘要

基于连续分段可微递增函数(CPDIF),提出了一种简单的机器人机械手鲁棒自适应跟踪控制算法。在该自适应控制器的结构中,对估计器的输出进行CPDIF滤波,然后应用于控制器中。因此,从某种意义上说,这种鲁棒自适应方法可以看作是传统自适应方案的扩展。由于该有界滤波函数的存在,克服了参数漂移现象。当真实参数包含在估计参数范围内时,即使不满足激励的持续性,也能获得渐近稳定性。此外,所设计的控制器使系统在存在干扰和/或参数范围估计不当的情况下保持一致最终有界稳定,即鲁棒性也得到了保证。最后,仿真结果验证了上述结论。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
New robust-Adaptive Algorithm for Tracking Control of robot manipulators
Based on a continuous piecewise-differentiable increasing function (CPDIF), a new simple robust-adaptive tracking control algorithm is proposed in this paper for robot manipulators. In the structure of the proposed adaptive controller, output of the estimator is filtered by some CPDIF and then is employed in the controller. Therefore, in some sense, this robust-adaptive approach can be taken as the extension of the conventional adaptive scheme. Due to this bounded filter function, phenomena of parameter drift are overcome accordingly. When the true parameters are contained within the estimated parameter range, asymptotic stability is obtained even though persistency of excitation is not satisfied. Furthermore, the designed controller renders the resulting system uniformly ultimately bounded stable in the presence of disturbance and/or the improper estimate of parameter range especially, namely, robustness is also guaranteed. Finally, simulation results demonstrate the above statements.
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