The Study And Research On Automatical Rectify Deviation System And Control Strategy Of Crane

Crane is the necessary equipment in most industrial and mining enterprises in the modern world. But most bridge cranes often run off of the rail track. Off-tracking of crane might result in wear of crane rail wheels. As the wheel slide against the track, the contact is anything but smooth. Friction appears when the wheel and the track rub against each other. Friction may make the wheels wear out quickly, become thinner and thinner, and shatter finally. This may make it dangerous to run the crane. And more money will be spent on the maintenance. So it is very important to analyze the reasons of off-tracking and to prevent and eliminate off-tracking.The error of the frame and the trail which make the crane not in parallel with the rail track is the cause of off-tracking. Reducing the error is the often used method of reducing off-tracking.An active frequency straightening project is created creatively here to solve the problem. The frequency timing technology is used to tune the velocities of each of the two sides online simultaneously in order to eliminate off-tracking. The research also show that horizontal stiffness is very important to the automatic straightening project and eliminating off-tracking.The crane operating organization is a non-linear, time-varying and distributed parameter system. Traditional controller is not effective because it is hard to express the system by exact mathematical equations. The relative merits and applicability of tradional PID controllers and fussy controllers are compared here. And fussy control theory is used creatively here. PLCs which are very credible are used as the hardware. We succeed in signal acquisition and filtering the waves of certain frequencies. A knowledge representation and fuzzy reasoning method is adopted because of the characteristics of the crane operating organization. A self learning arithmetic is designed in order to make the system has the ability of self learning and self adaptation and make it more robust.A model is built in the laboratory. PLC programming language is used to program the software. It is testified by trial and error that the straightening system could overshoot and it is rapid, precise and robust. The control system can keep the crane operating organization straightening by adapt commendably to the change of the crane operating organization and the change of parameters and the load.The straightening system designed here is feasible, applied and original. It is a good and a successful exploration to applied fussy intelligent control theory in the field of the crane operating organization.