The invention discloses a self-learning-based
rotation control method for a dangerous condition of a
tower crane. The self-learning-based
rotation control method particularly comprises the following steps of: 1, carrying out self-learning on the
inertia and a rotation running characteristic of the
tower crane on the
tower crane; 2, carrying out deceleration or shutoff control as appropriate according to the current running state of the
tower crane; 3, after low-speed
cut-off control of the
tower crane, executing closed-
loop control, if the dangerous angle of the
tower crane at the time is more than an ideal parking position, re-starting
low speed in a control direction of the tower crane by a
system, allowing the tower crane to continuously advance at a
low speed to be close to a target position; and 4, immediately braking when the tower crane enters a red line due to out of control, directly stopping the tower crane, delaying a
brake for a certain time, then opening the
brake and allowing the tower crane to rotate towards a safety direction. According to the self-learning-based
rotation control method, the rotation of the tower crane is passively controlled, the parking regulation and braking control are carried out to ensure the parking stability, and the impaction of the rotation
inertia of the tower crane is avoided.