To support the concurrent design processes of mechatronic subsystems, unified mechatronics modeling and cooperative body-brain coevolutionary synthesis are developed. In this paper, both body-passive physical systems and brain-active control systems can be represented using the bond graph paradigm. Bond graphs are combined with genetic programming to evolve low-level building blocks into systems with high-level functionalities including both topological configurations and parameter settings. Design spaces of coadapted mechatronic subsystems are automatically explored in parallel for overall design optimality. A quarter-car suspension system case study is provided. Compared with conventional design methods, semiactive suspension designs with more creativity and flexibility are achieved through this approach.
|Original language||English (US)|
|Number of pages||16|
|Journal||Artificial Intelligence for Engineering Design, Analysis and Manufacturing: AIEDAM|
|State||Published - Aug 2008|
All Science Journal Classification (ASJC) codes
- Industrial and Manufacturing Engineering
- Artificial Intelligence