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Journal of Applied Mathematics
Volume 2014, Article ID 420719, 5 pages
Research Article

Research on Optimal Control for the Vehicle Suspension Based on the Simulated Annealing Algorithm

1Department of Automotive Engineering, Changshu Institute of Technology, Changshu 215500, China
2School of Automotive and Traffic Engineering, Jiangsu University, Zhenjiang 212013, China

Received 17 February 2014; Accepted 1 March 2014; Published 3 April 2014

Academic Editor: Hamid R. Karimi

Copyright © 2014 Jie Meng et al. This is an open access article distributed under the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.


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.