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Issues Regarding the Tuning of a Minimum Variance Adaptive Controller

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Soft Computing Applications (SOFA 2016)

Part of the book series: Advances in Intelligent Systems and Computing ((AISC,volume 633))

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Abstract

The paper presents an analysis regarding the tuning of a minimum variance adaptive controller with application to the terminal voltage control of an induction generator connected to a power system. The main goal of the considered control system is to provide the best results as a disturbance rejection control system. The basic idea supposes that the performed analysis must take into consideration both the cases of positive and negative perturbations. The analysis performed to tune the controller parameters proves that, by considering only one class of disturbances (which causes only a positive or only a negative variation of the controlled output), the resulting tuning parameters can be totally inappropriate for other class of disturbances. This approach is explained by the fact that, the process being nonlinear, a positive or a negative perturbation shifts the operating point of the controlled process on the nonlinear characteristic in one direction or in the other. The proposed solution consists in a compromise between these two cases, by choosing a set of controller parameters that can provide acceptable results in both situations.

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Acknowledgments

This work was developed through the Partnerships in Priority Areas - PN II, with the support of ANCS, UEFISCDI, Project No. 36/2012, Code: PN-II-PT-PCCA-2011-3.2-1519.

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Correspondence to Ioan Filip .

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Filip, I., Szeidert, I., Prostean, O., Vasar, C. (2018). Issues Regarding the Tuning of a Minimum Variance Adaptive Controller. In: Balas, V., Jain, L., Balas, M. (eds) Soft Computing Applications. SOFA 2016. Advances in Intelligent Systems and Computing, vol 633. Springer, Cham. https://doi.org/10.1007/978-3-319-62521-8_7

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  • DOI: https://doi.org/10.1007/978-3-319-62521-8_7

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  • Publisher Name: Springer, Cham

  • Print ISBN: 978-3-319-62520-1

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