Autors: Yordanova, S. T., Slavov, M. N., Stoitseva-Delicheva, D. R.
Title: Load-bound Fuzzy Logic Control of an Industrial Nonlinear Plant
Keywords: Intelligent control, PDC, FLC

Abstract: Most industrial plants have load dependent nonlinear characteristics. In the present research a Sugeno fuzzy logic controller (FLC) on the principle of parallel distributed compensation (PDC) is developed that considers the variance in the load and the plant nonlinearity. It consists of separate controllers for each boundary load and a PDC-based soft blender for their common control action as a function of the load. The controllers are designed for the boundary loads. First, PI PDC are developed to better compensate the plant nonlinearity based on, derived and validated from experimental data, Takagi-Sugeno-Kang (TSK) plant models. The PI PDC replicates the TSK plant model structure but with local PI controllers tuned with respect to the corresponding TSK local linear plant models. Second, PI controllers are designed based on the mean values of the TSK local plant models parameters. The suggested PDC load-bound controllers PI PDC and PI are applied for the control of level.

References

    Issue

    International Scientific Conference on Computer Science (COMSCI), pp. 1-9, 2023, Bulgaria, DOI 10.1109/COMSCI59259.2023.10315847

    Вид: публикация в международен форум, публикация в реферирано издание, индексирана в Scopus