Study on Rudder Compartment Assembly Process Planning Based on Ant Colony Algorithm

Abstract When conducting the overall assembly design of the rudder compartment, a detailed optimization analysis of its assembly process is required. In this paper, the assembly process problem of the rocket rudder compartment is regarded as a combinatorial optimization problem of the assembly sequence, and the ant colony algorithm is adopted to optimize and analyze the assembly process of the rudder compartment. The interference matrix is used to deduce the feasible assembly schemes of the components in the rudder compartment. By adding key constraint conditions such as assembly position, assembly tool, and assembly direction, the path pheromone is updated to carry out the process planning of the assembled components. By setting specific parameters and verifying through experiments, the optimal assembly process sequence of the rudder compartment is obtained. The advantages and disadvantages of the proposed method are summarized.