Fuzzy Dynamic Corrector for Objects With Parametric Instability

Abstract

Purpose. Parametric non-stationarity is quite common in traditional energy facilities that use the combustion of different types of organic fuel. However, even defining the boundaries of such instability for working equipment, in many cases, becomes almost impossible. At the same time, the main task remains to ensure a stable mode of operation and preferably in an optimal mode in terms of energy efficiency. The purpose of the study is to analyze the principle of operation of a fuzzy controller, as well as to use fuzzy logic in the construction of non-standard regulators to control non-stationary technological objects. Method. The algorithm for fuzzy correction device synthesis for the controller consists of the following steps: identification of the control object, customization of the traditional controller, compilation of a rule base based on the research results. Two separate databases were built for allow simultaneous and independent change of two controller parameters. The error signal and the derivative of the error signal are selected for the input signals of the fuzzy controllers corresponding to them. Results. The fuzzy controller is more likely to overcome perturbations in the control system when the oscillation capacity of the control object increases. This feature makes the control system several times faster and reduces the maximum dynamic emission. In particularly critical conditions, a fixed adjustment of the PI controller can cause the control system loses stability. The results obtained from modeling of the work of the dynamic corrector prove that the dynamic corrector of the PI controller based on fuzzy logic provides better regulation, shorter adjustment time, faster overcoming perturbations, and reduces the maximum dynamic error. Scientific novelty. The proposed technique for adjusting the fuzzy dynamic corrector reduces the oscillatory capacity of the system and allows it to be stable in all critical states of the object. Practical importance. The introduction of the dynamic corrector improves, and in some cases dramatically changes the transition process. The application of fuzzy logic leads to an improvement in the quality of regulation in conditions of parametric non-stationarity of the object.