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Dynamical Optimization of Tracked Vehicle Based on Riccati Transfer Matrix Method and PSO Algorithm

[+] Author Affiliations
Pingxin Wang, Xiaoting Rui, Jianshu Zhang, Hailong Yu, Hongtao Zhu

Nanjing University of Science and Technology, Nanjing, China

Paper No. DETC2018-85733, pp. V006T09A059; 7 pages
doi:10.1115/DETC2018-85733
From:
  • ASME 2018 International Design Engineering Technical Conferences and Computers and Information in Engineering Conference
  • Volume 6: 14th International Conference on Multibody Systems, Nonlinear Dynamics, and Control
  • Quebec City, Quebec, Canada, August 26–29, 2018
  • Conference Sponsors: Design Engineering Division, Computers and Information in Engineering Division
  • ISBN: 978-0-7918-5183-8
  • Copyright © 2018 by ASME

abstract

Aiming at the problems of complex modeling and low calculation efficiency during dynamical optimization of tracked vehicles, a method for the closed-loop system called Riccati transfer matrix method for multibody system is proposed. In order to reduce the vibration acceleration of track shoes in the driving process, this paper uses the PSO algorithm and utilizes a strategy of decreasing the inertia weight to optimize the structural parameters of tracked vehicles. The research shows that the root mean square of vibration acceleration of track shoes above the support rollers is obviously reduced. This method provides a theoretical reference for the design of tracked vehicles and is beneficial to the dynamic design of complex systems.

Copyright © 2018 by ASME

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