Abstract
Food processing facilities operate under permanent perturbations. Their nature may be different: change of facility input load; external facility perturbations that change within wide limits; interference in communications lines; in-service evolution of internal facility parameters. These factors lead to a shift of optimum regulator settings and, consequently, deterioration in the quality of transients in regulation system. If perturbation uncertainty range is substantial, control system should imply modification of regulator setting, i.e. development of adaptive system. However, there is another approach, in which regulator settings are not changed. It is called a robust control system. Today there are various methods developed for determining a robust regulator, but they have significant drawbacks limiting and slowing their use in industrial environments, e.g. high-order regulator. The synthesis of matrix linear regulator for multivariable systems based on minimizing H∞-test has all the advantages of robust regulator and reduces interaction of contours. The paper studies and simulates an optimal robust control system for evaporation plant of sugar factory with a linear array regulator based on LMI-approach.
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Korobiichuk, I. et al. (2017). Synthesis of Optimal Robust Regulator for Food Processing Facilities. In: Szewczyk, R., Zieliński, C., Kaliczyńska, M. (eds) Automation 2017. ICA 2017. Advances in Intelligent Systems and Computing, vol 550. Springer, Cham. https://doi.org/10.1007/978-3-319-54042-9_5
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