Multi-objective Optimization of the PMS Based on Non-dominated Sorting Genetic Algorithm II

Paper #:
  • 2015-01-1675

Published:
  • 2015-04-14
DOI:
  • 10.4271/2015-01-1675
Citation:
Chen, Y., Tang, Z., Xu, P., and Zhang, Y., "Multi-objective Optimization of the PMS Based on Non-dominated Sorting Genetic Algorithm II," SAE Technical Paper 2015-01-1675, 2015, doi:10.4271/2015-01-1675.
Pages:
6
Abstract:
In order to reasonably match the variable stiffness and location of the Powertrain Mounting System (PMS) and optimize the ride comfort of commercial vehicle, a thirteen degrees of freedom (DOF) model of a commercial vehicle was established in Adams/view. Specially, the support rod installed on the upside of the transmission case was modeled as a flexible body.The vibration isolation provided by the PMS was evaluated in three aspects: the energy decoupling of the powertrain, the response force of the mount and the displacement of the powertrain. The energy decoupling ratio, the force RMS of the mount when force excitation was applied on the powertrain and the displacement of the powertrain Center of Gravity (C.G) when displacement excitation was applied on the vehicle chassis were selected as the optimal target. Adams and MATLAB were integrated into the optimization software iSIGHT to optimize the PMS. NSGA-II is used to obtain some Pareto-optimal solutions of PMS. Finally, a “performance function” is introduced to get the result of optimization.
Access
Now
SAE MOBILUS Subscriber? You may already have access.
Buy
Select
Price
List
Download
$27.00
Mail
$27.00
Members save up to 40% off list price.
Share
HTML for Linking to Page
Page URL

Related Items

Training / Education
2016-03-07
Training / Education
2016-03-10
Technical Paper / Journal Article
1996-04-01
Technical Paper / Journal Article
1996-04-01
Standard
2008-07-21
Technical Paper / Journal Article
2012-06-13
Standard
1971-01-01