STABILITY AND ROBUSTNESS ANALYSIS OF FUZZY LOGIC CONTROLLER FOR WING ROCK SUPPRESSION

The design of a fuzzy logic controller (FLC) to suppress wing rock has proven to be advantageous in numerous aspects. An inadequate understanding of the parameters governing wing rock and the lack of an accurate mathematical model presents significant obstacles to controllers using conventional quantitative techniques. In contrast, fuzzy logic offers a means of robust control for systems that suffer from parametric vagueness. The lack of formal tools for stability and robustness analysis for FLC limit its validity. Using Lyapunov's theorem, the present work analyses the stability and robustness of the FLC for the wing rock phenomenon. The results of the analysis indicate that the wing rock can be suppressed using only roll rate. Also, the results highlight that only one particular parameter governing wing rock need to be accurately estimated, hi addition, it also gives a guide ling for the design of controllers for suppressing wing rock.