Design of physical systems and associated control systems are coupled tasks; design methods that manage this interaction explicitly can produce system-optimal designs, whereas conventional sequential processes may not. Here we explore a new technique for combined physical system and control design (co-design) based on a simultaneous dynamic optimization approach known as direct transcription, which transforms infinite-dimensional control design problems into finite dimensional nonlinear programming problems. While direct transcription problem dimension is often large, sparse problem structures and fine-grained parallelism (among other advantageous properties) can be exploited to yield computationally efficient implementations. Extension of direct transcription to co-design gives rise to a new problem structures and new challenges. Here we illustrate direct transcription for co-design using a new automotive active suspension design example developed specifically for testing co-design methods. This example builds on prior active suspension problems by incorporating a more realistic physical design component that includes independent design variables and a broad set of physical design constraints, while maintaining linearity of the associated differential equations.
- Design Engineering Division and Computers and Information in Engineering Division
Co-Design of an Active Suspension Using Simultaneous Dynamic Optimization
- Views Icon Views
- Share Icon Share
- Search Site
Allison, JT, & Han, Z. "Co-Design of an Active Suspension Using Simultaneous Dynamic Optimization." Proceedings of the ASME 2011 International Design Engineering Technical Conferences and Computers and Information in Engineering Conference. Volume 5: 37th Design Automation Conference, Parts A and B. Washington, DC, USA. August 28–31, 2011. pp. 903-913. ASME. https://doi.org/10.1115/DETC2011-48521
Download citation file: