Experimental Data based-Parameter Estimation and Control for Container Crane

摘要: In this paper, we presents a scheme for the parameter estimation and optimal control apparatus of container crane system. For estimation, first, construct open loop system estimate its parameters based on input-output data, real-coded genetic algorithm(RCGA) model adjustment technique. The RCGA plays an important role in as adaptive mechanism. controller design, state feedback gain matrix is searched by another estimated model. performance proposed methods are demonstrated through set simulation experiments experimental apparatus.