Name
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. |
Year | DOI | Venue |
|---|---|---|
2006 | 10.1007/11893295_93 | ICONIP (3) |
Keywords | Field | DocType |
multi-objective optimization,genetic algorithm,design criterion,hybrid mechanism,hybrid five-bar mechanism,bar mechanism,hybrid actuator,different electric motor,optimization method,improved ga algorithm,multiobjective optimization design,multi objective optimization,multiobjective optimization,electric motor | Search algorithm,Kinematics,Computer science,Multi-objective optimization,Artificial intelligence,Artificial neural network,Genetic algorithm,Mathematical optimization,Algorithm,Bond graph,Electric motor,Machine learning,Actuator | Conference |
Volume | ISSN | ISBN |
4234 | 0302-9743 | 3-540-46484-0 |
Citations | PageRank | References |
0 | 0.34 | 1 |
Authors | ||
1 | ||