Self-learning-based rotation control method for dangerous condition of tower crane
A technology for tower cranes and dangerous states, which is applied in the field of self-learning-based slewing control of tower cranes in dangerous states, can solve problems such as dangers and drivers not finding dangerous situations, and achieve the goals of avoiding shocks, smooth parking, and ensuring smooth parking Effect
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[0045] Taking a certain type of 16-ton tower crane as an example, the jib is 50 meters long. Through self-learning, the parameters of the three speed control angles and the braking angle of the tower crane are:
[0046] θ 3 is 45°; θ 2 is 25°; θ 1 is 15°; θ 4 is 10°; θ 0 is 5°; the braking time is 2 seconds.
[0047] Utilizing the above-mentioned slewing control method of the present invention, the slewing control of the tower crane stops smoothly, the parking position is relatively accurate, the working range of the tower crane is effectively utilized, and safe work is ensured.
[0048] To sum up, the tower crane anti-collision rotation control method of the present invention adopts a passive control method, which improves the reliability of the tower crane control; at the same time, the present invention adopts segmental and step-by-step deceleration and braking to realize deceleration first and then stop, reducing impact , to ensure the stability of the slewing parking...
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