Research on track optimal searching of tank engine's movement state simulating platform

The platform is a test-equipment which is used to simulate the tank engine's movement state. A multi-branches parallel manipulator with redundant branches driven by hydraulic power is adopted, which can meet the requirements of heavy load, high agility and complicated movement. Because of the peculiar structure of the system, the study introduces an improved simulated annealing algorithm, which involves the mechanism of self-optimization for neighbor-function scale parameter with individual floating directionally technique, to carry out the six-dimension track searching for this system. This paper not only expatiates on the improved simulated annealing algorithm, but also compares the simulation result with that of experiment. The analysis result validates that the simulation result well matches the experimental result. Furthermore, this method perfectly combines the series-search characteristic of simulated annealing algorithm with the parallel-search specialty of chaos sequences. It also possesses both the local optimal ability of simulated annealing algorithm and the global optimal characteristic of chaos sequences. By applying the technique of individual floating directionally to the improved simulated annealing algorithm, the algorithm not only improves the searching efficiency, but also makes the neighbor-function structure more reasonable.