Abstract
A hybrid mechanism is a configuration that combines the motions of two characteristically different electric motors by means of a mechanism to produce programmable output. In order to obtain better integrative performances of hybrid mechanism, based on the dynamics and kinematic analysis for a hybrid five-bar mechanism, a multi-objective optimization of hybrid five bar mechanism is performed with respect to four design criteria in this paper. Optimum dimensions are obtained assuming there are no dimensional tolerances and clearances. By the use of the properties of global search of genetic algorithm (GA), an improved GA algorithm is proposed based on real-code. Finally, a numerical example is carried out, and the simulation result shows that the optimization method is feasible and satisfactory in the design of hybrid actuator.
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Zhang, K. (2006). Multiobjective Optimization Design of a Hybrid Actuator with Genetic Algorithm. In: King, I., Wang, J., Chan, LW., Wang, D. (eds) Neural Information Processing. ICONIP 2006. Lecture Notes in Computer Science, vol 4234. Springer, Berlin, Heidelberg. https://doi.org/10.1007/11893295_93
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DOI: https://doi.org/10.1007/11893295_93
Publisher Name: Springer, Berlin, Heidelberg
Print ISBN: 978-3-540-46484-6
Online ISBN: 978-3-540-46485-3
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