The invention discloses a self-
adaptive control method and
system for an electric
shovel working device based on danger situation assessment, and belongs to the technical field of electric
shovel collision avoidance. According to the method, a multi-layer working device operation danger situation comprehensive
evaluation system is established, multi-source information such as the operation speed, the current position and the operation intention of a driver is comprehensively considered, and a danger situation evaluation problem is regarded as a mixed multi-criterion
decision problem. And quantitative evaluation is carried out by using a TTC
risk evaluation model, and anti-collision pre-
decision making is carried out based on a feedforward
control principle. Meanwhile, a decision evaluation and correction mechanism is introduced, and a control strategy is dynamically judged and corrected by calculating a danger situation change rate, so that a reliable
closed loop is formed. The defects that in the prior art, single position information is relied on, the braking strategy is stiff, and state feedback is lacked are overcome, smooth and self-adaptive anti-collision control is achieved, equipment
impact and abrasion are effectively reduced, the reliability of a
control system is improved, and the service life of equipment is prolonged.