With selfadaptive fuzzy control theory don't rely on accurate model and can be used to build effective control to nonlinear and timevarying complex system, it is more and more widely used in electrohydraulic automatic control areas. However the improvement of system performances including intelligent level, adaptive capacity and stable control accuracy is restricted. Because the intelligent fuzzy control possessed advantage in electrohydraulic control systems, one control scheme combining optimal control theory and fuzzy control reasoning was proposed by building the new fuzzy reasoning scheme from fuzzy inference mechanism. MATLAB simulation results show that, compared with convention control schemes, the proposed optimum fuzzy control scheme can achieve more quick response speed and accurate position tracking, meanwhile this scheme has a short response time, high control accuracy with system parameter variations and is applied to the crane control system with high control precision. In addition, its structure is simple, therefore it is easy to be implemented in engineering.