Robot welding path planning method based on firework particle swarm optimization algorithm
A technology of robot welding and particle swarm algorithm, which is applied in the direction of instruments, two-dimensional position/channel control, vehicle position/route/height control, etc., can solve the problems of slow algorithm convergence and time-consuming, and achieve optimal welding path and enhanced Population diversity, the effect of promoting optimization efficiency
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[0018] The method of the present invention will be further described in detail below in conjunction with the drawings and embodiments.
[0019] A robot welding path planning method based on the firework particle swarm algorithm, such as figure 1 As shown, including the following steps:
[0020] Step S1: Use the greedy algorithm to initialize all path solutions and all control parameters of the population.
[0021] The specific method is as follows:
[0022] Step S1.1: randomly select a welding spot as the welding robot's location Pwelding, and add the sequence of the visited welding spot;
[0023] Step S1.2: Search for all solder joints that have not joined the visited sequence, find the solder joint Pnext closest to the current welding robot's location Pwelding, and add it to the visited sequence as the current welding robot's location. Repeat the above search until all solder joints are added to the visited sequence, and an initially optimized individual is obtained.
[0024] Repeat s...
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