Reliability-based design optimization for flexible mechanism with particle swarm optimization and advanced extremum response surface method

• Published in: Journal of Central South University Vol. 23; no. 8; pp. 2001 - 2007
• Main Authors: Zhang, Chun-yi, Song, Lu-kai, Fei, Cheng-wei, Hao, Guang-ping, Liu, Ling-jun
• Format: Journal Article
• Language: English
• Published: Changsha Central South University 01.08.2016; Springer Nature B.V
• Subjects: Algorithms; Artificial neural networks; Computational efficiency; Control Science and Information Engineering; Design optimization; Engineering; Mechanical Engineering; Metallic Materials; Particle swarm optimization; Reliability; Response surface methodology; artificial neural network; reliability-based design optimization; flexible robot manipulator; advanced extremum response surface method; particle swarm optimization
• ISSN: 2095-2899; 2227-5223
• DOI: 10.1007/s11771-016-3257-z

To improve the computational efficiency of the reliability-based design optimization (RBDO) of flexible mechanism, particle swarm optimization-advanced extremum response surface method (PSO-AERSM) was proposed by integrating particle swarm optimization (PSO) algorithm and advanced extremum response surface method (AERSM). Firstly, the AERSM was developed and its mathematical model was established based on artificial neural network, and the PSO algorithm was investigated. And then the RBDO model of flexible mechanism was presented based on AERSM and PSO. Finally, regarding cross-sectional area as design variable, the reliability optimization of flexible mechanism was implemented subject to reliability degree and uncertainties based on the proposed approach. The optimization results show that the cross-section sizes obviously reduce by 22.96 mm 2 while keeping reliability degree. Through the comparison of methods, it is demonstrated that the AERSM holds high computational efficiency while keeping computational precision for the RBDO of flexible mechanism, and PSO algorithm minimizes the response of the objective function. The efforts of this work provide a useful sight for the reliability optimization of flexible mechanism, and enrich and develop the reliability theory as well.