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Robustness and Tuning of Incremental Backstepping Approach

机译:增量反推方法的鲁棒性和调整

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Incremental Backstepping (IBS) approach is robust to the uncertainties in the plant dynamics term f(x). However, its robustness to the uncertainties in the control effectiveness term g(x) remains unknown especially in the presence of actuator dynamics. Furthermore, it requires the assumption of the availability of fast actuator dynamics. In this paper, the robustness is analyzed with and without the actuator dynamics. It is found that uncertainties with γ > 1 are advantageous for the stability of the complete system. Then, the tuning of the IBS is introduced. Two methods which can increase the robustness of the IBS are proposed: γ tuning and actuator compensator. The design of an actuator compensator requires the parameter of the actuator whereas the γ tuning methods does not. Finally, the robustness to model uncertainties is verified by simulation examples, which show the effectiveness of the proposed approaches.
机译:增量反演(IBS)方法对于工厂动力学项f(x)中的不确定性具有鲁棒性。但是,其对控制有效性项g(x)中不确定性的鲁棒性仍然未知,尤其是在执行器动力学存在的情况下。此外,它要求假设具有快速的执行器动态特性。在本文中,分析了有无执行器动力学时的鲁棒性。发现γ> 1的不确定性对于整个系统的稳定性是有利的。然后,介绍了IBS的调整。提出了两种可以提高IBS鲁棒性的方法:γ调谐和执行器补偿器。执行器补偿器的设计需要执行器的参数,而γ调整方法则不需要。最后,通过仿真实例验证了模型不确定性的鲁棒性,表明了所提方法的有效性。

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