This journal describes control system designing of Hoist Crane movement using Adaptive Fuzzy Reference Model (Adaptive Fuzzy Control Reference Model) for non-linear movement controlling. Non linear movement controlling in hoist crane selected to test adaptive fuzzy control rule effectiveness through simulation is non linear hoist crane movement model which basically is unstable. Adaptive Fuzzy Control rule is derived using Lyapunov theory based on linearization model from hoist crane movement. Reference model selected was stabilized linear model. Then simulation was performed to observe MRAFC performance on non linear model. Full state feedback control through simulation has been shown not able to stabilize hoist crane movement. MRAFC is able to perform better, even for cases where controlling parametric model was uncertain or changing over time (time-varying). Point to note in the designing was how to select reference model as wise as possible because it affect control system stability leve
