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首页> 外文期刊>Fuzzy Systems, IEEE Transactions on >Moment Adaptive Fuzzy Control and Residue Compensation
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Moment Adaptive Fuzzy Control and Residue Compensation

机译：矩自适应模糊控制和残差补偿

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摘要

In this paper, a novel control scheme adopted from moment control is proposed. In the proposed approach, an adaptive fuzzy system is employed to learn the effective moment. It is easy to see that such an approach can avoid wild guessing for the effective moment, and as shown in our simulation, can have nice control performance. In traditional adaptive fuzzy control approaches, bounds of system functions are required to facilitate supervisory control so as to have the robust control property. It can be expected that when those bounds used in the supervisory controller are not proper, the output may not be able to follow the reference trajectory satisfactorily. With the proposed moment adaptive fuzzy control, the bound needed is only the supremum of the control variance between two consecutive steps. It is much easier to predict. In our study, in order to further relax this requirement, another adaptive system is employed to estimate the residue of the moment adaptive fuzzy control system. It is called residue compensation in this paper. It can be found that with residue compensation, the approach does not need a supervisory controller, but still can quickly track the reference in a satisfactory fashion. Various simulations are conducted to demonstrate the effectiveness of the proposed approaches.
机译：本文提出了一种基于力矩控制的新型控制方案。在提出的方法中，采用自适应模糊系统来学习有效力矩。很容易看出，这种方法可以避免对有效力矩进行疯狂猜测，并且如我们的仿真所示，可以具有良好的控制性能。在传统的自适应模糊控制方法中，需要系统功能的范围来促进监督控制，以具有鲁棒的控制特性。可以预料，当在监督控制器中使用的边界不合适时，输出可能无法令人满意地遵循参考轨迹。利用所提出的力矩自适应模糊控制，所需的界限仅仅是两个连续步骤之间的控制方差的最大值。预测起来容易得多。在我们的研究中，为了进一步放松这一要求，采用了另一种自适应系统来估计力矩自适应模糊控制系统的残差。在本文中称为残差补偿。可以发现，通过残差补偿，该方法不需要监督控制器，但仍可以令人满意的方式快速跟踪参考。进行了各种仿真实验，验证了所提方法的有效性。

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