Simple Adaptive Control for Non-Minimum Phase Autopilot Design

What is it about?

A recent publication uses a difficult design example to show that fuzzy logic may have advantages when compared with classical compensator or with the ubiquitous PID design when uncertainty is concerned. Although in this particular case the application was shown to be successful, convergence of the fuzzy logic algorithm, as well as other time-varying controllers, cannot not be guaranteed unless some preliminary conditions are satisfied. This paper intends to show that further exploitation of the classical design can improve robust performance with uncertainty. This result is then used to create sufficient conditions that guarantee convergence with time-varying controllers, and the paper then shows that simple adaptive control methods can further improve performance and maintain it in changing environments.

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