Barrier Lyapunov function-based adaptive fuzzy attitude tracking control for rigid satellite with input delay and output constraint

This paper investigates the adaptive attitude tracking problem for rigid satellite involving output constraint, input saturation, time delay, and external disturbance by integrating barrier Lyapunov function (BLF) prescribed performance control (PPC). In contrast to existing approaches, delay is addressed Pade approximation, actual concerning saturation obtained utilizing an auxiliary variable that simplifies controller design with respect mean value methods or Nussbaum function-based strategies. Due implementation of BLF control, together interval notion-based PPC strategy, not only system but also transformed error produced are constrained. An fuzzy then constructed predesigned constraints will be violated. addition, a smooth switch term imported into such finite convergence all variables guaranteed certain case while singularity avoided. Finally, simulations provided show effectiveness potential proposed new techniques.