Forming Optimality Criteria for Mechatronic Control Systems Using a Fuzzy Logic
Anatoly A. Anisimov, Mark E. Sorokovnin, Sergey V. Tararykin · 2023
At present, the problem of forming an optimality criterion in parametric synthesis of mechatronic systems state controllers is a highly urgent problem. Previously developed optimality criteria based on the principle of indirect quality indicators of automatic control systems (ACS) are largely oriented towards providing analytical solutions for the task of synthesis, rather than actual system properties. More complete and accurate taking into account of system requirements necessitates changing over from indirect optimality criteria to direct ones, ensuring a compromise between the main requirements, taking into account the specific features of the system. To that end, for optimization of electromechanical systems it is proposed to use a comprehensive optimality criterion, formed on the basis of a mathematical fuzzy logic instrument.