Benchmarking of adjoint sensitivity-based optimization techniques using a vehicle ride case study. Issue 2 (4th March 2018)

• Record Type: Journal Article
• Authors: Zhu, Yitao; Sandu, Corina; Dopico, Daniel; Sandu, Adrian
• Is Part Of: Mechanics based design of structures and machines. Volume 46:Issue 2(2018)
• Page Start: 254
• Page End: 266
• Publication Date: 2018-03-04
• Subjects: Dynamic system optimization -- Robotics/Machine control -- vehicle dynamics -- multi-rigid body dynamics; Structural analysis (Engineering) -- Periodicals; Structural design -- Periodicals; 624.17
• DOI: 10.1080/15397734.2017.1338576
• Languages: English
• ISSNs: 1539-7734

Abstract

ABSTRACT: Several studies on multibody dynamics optimization have been conducted. One important limitation of these studies is their computational efficiency, especially when optimizing a complex system's performance. The co-authors developed a very efficient optimization technique based on an adjoint sensitivity analysis methodology. The scope of this article is to validate this technique by conducting a benchmark analysis against some of the most popular optimization methods, including gradient-based optimization using finite differences, design of experiment using optimal Latin hypercube, and design of experiment using full factorial design matrix. A vehicle system is used as a case study for optimizing its ride comfort.