The advantages of combining a conventional controller and a knowledge-based
approach are addressed in the specific context of regulating a robotic man
ipulator with deployable and slewing links. A hierarchical structure having
a high-speed crisp-algorithmic controller at the bottom layer and an intel
ligent tuner at an upper layer is developed. The top-level intelligent tune
r uses a valid set of linguistic rules for adjusting proportional-integral-
derivative servos, based on the theory of fuzzy logic. The behavior of the
system is evaluated on the basis of the numerical simulation results as wel
l as experiments with a prototype manipulator system. Results suggest signi
ficant improvement in the system performance through the fuzzy logic-based
hierarchical control structure.