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| Improved Particle Swarm Optimization Algorithm for Aircraft Posture Evaluation Problems |
| CHEN Yuanzhi1 , HUANG Jie1 , ZHANG Yilian2 , ZHU Limin 1 |
| (1. School of Mechanical Engineering, Shanghai Jiao Tong University, Shanghai 200240, China; 2. TOPNC Science and Technology Co., Ltd., Shanghai 201111, China) |
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Abstract In an aircraft assembly line, the aircraft posture is required to meet tolerance constraints. A novel optimization model was proposed to obtain the optimal aircraft posture parameters under tolerance constraints. Tolerance constraints, which was transformed into a penalty function, was combined with the sum of distance errors as an objective function for optimization by using PSO for constrained optimization problems (PSO-COPs). Further improvement on the above algorithm, the maximum distance error of the aircraft feature points could be further reduced by using an improved PSO algorithm (IPSO), which was an iterative method by dynamically strengthening tolerance constraints. The simulation example and Monte Carlo simulation indicated that compared with the singular value decomposition method (SVD) and the basic PSO algorithm, PSO-COPs and IPSO can better guarantee the accuracy of aircraft posture for assembly under tolerance constraints.
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2020, 
