Directional Dynamic Topology Multi Force PSO-BA Algorithm And Its Hydraulic Reliability Optimization Application

Hydraulic systems are widely used in actual production,especially in large heavy equipment,because of its large power-to-weight advantage.The reliability of the system determines whether the equipment can operate normally,and the reliability optimization of the system can achieve the goals of low cost and high reliability.Compared with traditional optimization methods,swarm intelligence algorithm has outstanding advantages in solving such complex optimization problems as reliability optimization of hydraulic system.Therefore,a multi force PSO-BA algorithm based on directed dynamic topology combined with two-stage multi force particle swarm optimization algorithm and bat algorithm is studied and used to optimize the reliability of hydraulic system.First of all,to solve the problem that the force rules of the standard particle swarm algorithm and the bat algorithm are simple,a two-stage multi force rule is proposed,which constructs a balanced repulsion rule in the early stage and a single gravity rule in the later stage.Combining the two-stage force rule with standard particle swarm optimization and bat algorithm,a two-stage multi force particle swarm optimization algorithm and two-stage multi force bat algorithm are formed.The standard test function is used to test the search performance of the improved PSO algorithm and bat algorithm,and compared with other improved algorithms,to verify the feasibility of the two-stage multi force PSO algorithm and the two-stage multi force bat algorithm.Secondly,in view of the problem that a single algorithm is liable to fall into local optimization,a directed dynamic topology multi force PSO-BA algorithm is proposed,which makes use of a directed dynamic topology structure to achieve the complementary advantages between algorithms,strengthens the information interaction ability between algorithm individuals,and improves the search performance of the algorithm.The standard test functions are used to test the search ability,convergence speed and population diversity of the directed dynamic topology of multi force PSO-BA algorithm,and compared with the test results of the two-stage multi force particle swarm optimization algorithm and the two-stage multi force bat algorithm,it is verified that the directed dynamic topology structure has obvious improvement effect on the search performance of the algorithm,which proves the superiority of the directed dynamic topology of multi force PSO-BA algorithm.Finally,aiming at the reliability optimization of the hydraulic system of the material rake of the blending reclaimer and the reliability distribution of the rod pump drainage system in the actual production,the T-S fault tree and the general generating function are used to analyze the optimization problems respectively,and the corresponding optimization model is established,and then these optimization problems are solved by the intelligent algorithm of the directed dynamic topological hybrid group.The comparison of literature results shows that the proposed algorithm has obvious advantages in solving complex optimization problems.