Volume 39, Issue 2 (2-2021)
2021, 39(2): 23-44 |
Back to browse issues page
Download citation:
BibTeX | RIS | EndNote | Medlars | ProCite | Reference Manager | RefWorks
Send citation to:
BibTeX | RIS | EndNote | Medlars | ProCite | Reference Manager | RefWorks
Send citation to:
Z. Ahangari Sisi Z, Mirzaei M, Rafatnia S, Alizadeh B. Design of a Constrained Nonlinear Controller using Firefly Algorithm for Active Suspension System. Computational Methods in Engineering 2021; 39 (2) :23-44
URL: http://jcme.iut.ac.ir/article-1-788-en.html
URL: http://jcme.iut.ac.ir/article-1-788-en.html
1- Faculty of Mechanical Engineering, Sahand University of Technology, Tabriz, Iran
2- Faculty of Mechanical Engineering, Sahand University of Technology, Tabriz, Iran , Mirzaei@sut.ac.ir
3- Faculty of Basic Science, Sahand University of Technology, Tabriz, Iran
2- Faculty of Mechanical Engineering, Sahand University of Technology, Tabriz, Iran , Mirzaei@sut.ac.ir
3- Faculty of Basic Science, Sahand University of Technology, Tabriz, Iran
Abstract: (1777 Views)
Active vehicle suspension system is designed to increase the ride comfort and road holding of vehicles. Due to limitations in the external force produced by actuator, the design problem encounters the constraint on the control input. In this paper, a novel nonlinear controller with the input constraint is designed for the active suspension system. In the proposed method, at first, a constrained multi-objective optimization problem is defined. In this problem, a performance index is defined as a weighted combination of the predicted responses of the nonlinear suspension system and control input. Then, this problem is solved by the modified firefly optimization algorithm to find the constrained optimal control input. To evaluate the performance of the proposed method, the results of the unconstrained and constrained controllers are provided and discussed for various road excitations. The results show a remarkable increase in the ride comfort with the limited force, while other suspension outputs including the suspension travel and tire deflection being in the acceptable ranges. In addition, these controllers are compared with Sliding Mode Control (SMC) and Nonlinear Model Predictive Control (NMPC) in the presence of model uncertainty.
Keywords: Active suspension system, Nonlinear control, Constrained optimal control, Input constraint, Firefly algorithm
Type of Study: Research |
Subject:
Special
Received: 2019/05/22 | Accepted: 2019/09/16 | Published: 2021/02/28
Received: 2019/05/22 | Accepted: 2019/09/16 | Published: 2021/02/28
Send email to the article author
