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Research on Optimal Control for the Vehicle Suspension Based on the Simulated Annealing Algorithm
Joint Authors
Meng, Jie
Chen, Qingzhang
He, Ren
Source
Journal of Applied Mathematics
Issue
Vol. 2014, Issue 2014 (31 Dec. 2014), pp.1-5, 5 p.
Publisher
Hindawi Publishing Corporation
Publication Date
2014-04-03
Country of Publication
Egypt
No. of Pages
5
Main Subjects
Abstract EN
A method is designed to optimize the weight matrix of the LQR controller by using the simulated annealing algorithm.
This method utilizes the random searching characteristics of the algorithm to optimize the weight matrices with the target function of suspension performance indexes.
This method improves the design efficiency and control performance of the LQR control, and solves the problem of the LQR controller when defining the weight matrices.
And a simulation is provided for vehicle active chassis control.
The result shows that the active suspension using LQR optimized by the genetic algorithm compared to the chassis controlled by the normal LQR and the passive one, shows better performance.
Meanwhile, the problem of defining the weight matrices is greatly solved.
American Psychological Association (APA)
Meng, Jie& Chen, Qingzhang& He, Ren. 2014. Research on Optimal Control for the Vehicle Suspension Based on the Simulated Annealing Algorithm. Journal of Applied Mathematics،Vol. 2014, no. 2014, pp.1-5.
https://search.emarefa.net/detail/BIM-470847
Modern Language Association (MLA)
Meng, Jie…[et al.]. Research on Optimal Control for the Vehicle Suspension Based on the Simulated Annealing Algorithm. Journal of Applied Mathematics No. 2014 (2014), pp.1-5.
https://search.emarefa.net/detail/BIM-470847
American Medical Association (AMA)
Meng, Jie& Chen, Qingzhang& He, Ren. Research on Optimal Control for the Vehicle Suspension Based on the Simulated Annealing Algorithm. Journal of Applied Mathematics. 2014. Vol. 2014, no. 2014, pp.1-5.
https://search.emarefa.net/detail/BIM-470847
Data Type
Journal Articles
Language
English
Notes
Includes bibliographical references
Record ID
BIM-470847