Articles | Volume 14, issue 2
https://doi.org/10.5194/ms-14-361-2023
https://doi.org/10.5194/ms-14-361-2023
Research article
 | 
06 Sep 2023
Research article |  | 06 Sep 2023

Multi-objective optimization design of parallel manipulators using a neural network and principal component analysis

Chao Yang, Peijiao Li, Yang Wang, Wei Ye, Tianze Sun, Fengli Huang, and Hui Zhang

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Cited articles

Agarwal, H. and Renaud, J.: Reliability based design optimization using response surfaces in application to multidisciplinary systems, Eng. Optimiz., 36, 291–311, 2004. 
Altuzarra, O., Pinto, C., Sandru, B., and Hernandez, A.: Optimal dimensioning for parallel manipulators: workspace, dexterity, and energy, J. Mech. Design, 133, 041007, https://doi.org/10.1115/1.4003879, 2011. 
Arabshahi, H. Z. and Novinzadeh, A. B.: Comparison of motion control techniques for a 3RPS parallel manipulator, in: Proceedings of the 2015 3rd RSI International Conference on Robotics and Mechatronics (ICROM), Tehran, Iran, 7–9 October 2015, IEEE, 302–307, https://doi.org/10.1109/ICRoM.2015.7367801, 2015. 
Babu, S. R., Raju, V. R., and Ramji, K.: Design for optimal performance of 3-RPS parallel manipulator using evolutionary algorithms, T. Can. Soc. Mech. Eng., 37, 135–160, https://doi.org/10.1139/tcsme-2013-0009, 2013. 
Babu, S. R., Raju, V. R., and Ramji, K.: Design optimization of 3PRS parallel manipulator using global performance indices, J. Mech. Sci. Technol., 30, 4325–4335, https://doi.org/10.1007/s12206-016-0847-5, 2016. 
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The main contribution of this work is to propose a multi-objective optimization design method in terms of factor analysis, a back-propagation (BP) neural network, principal component analysis (PCA), and a particle swarm optimization (PSO) algorithm to achieve optimal comprehensive performance of a mechanism. The computational cost of the proposed approach was reduced by 96.95 % compared with the PSO algorithm, and the comprehensive performance increased by 118.92 %.