Crane Control And Simulation

Based on the MATLAB, Fuzzy toolbox and its visual environment Simulink, thecrane system with many nonlinear parts such as Dead Zone and Saturation, which iscontrolled by the fuzzy logic, is discussed and a concise object is got. Then traces areobtained by solving a difference equation with boundary condition of start and stop.Using these traces as inputs, we observe this system's perfOrmance. At last, aPplyingOpenGL technology and the trajectory simulation result, we design a program toshow the performance in three-dimension, Which gives a valid conclusion in controlsystem.