Abstract
The objective of this research is to propose an optimal design of structure and control parameters for the active suspension based on proportional– integral-derivative (PID) control. The novelty lies in optimized parameters including suspension structure ones and control ones of PID controller. Taking a quarter-vehicle model as an example, structure and control parameters for the active suspension are synchronously optimized based on genetic algorithm (GA) with the suspension quadratic performance index taken as the fitness function. Optimization result shows that the comprehensive performance of the optimized active suspension proposed is effective and feasible.
This work is supported by NSFC Grant #50805066 to S.A. Chen.
Access this chapter
Tax calculation will be finalised at checkout
Purchases are for personal use only
Preview
Unable to display preview. Download preview PDF.
Similar content being viewed by others
References
Cao, J.T., Li, P., Liu, H.H.: An extended fuzzy controller for a vehicle active suspension system. Proceedings of the Institution of Mechanical Engineers Part D-journal of Automobile Engineering 224(6), 717–733 (2010)
Jastrzebski, R.P., Hynynen, K.M., Smirnov, A.: H-infinity control of active magnetic suspension. Mechanical Systems and signal Processing 24(4), 995–1006 (2010)
Huang, C.J., Lin, J.S., Chen, C.C.: Road-adaptive algorithm design of half-car active suspension system. Expert Systems with Applications 37(6), 4392–4402 (2010)
Yim, S., Park, Y., Yi, K.: Design of active suspension and electronic stability program for rollover prevention. International Journal of Automotive Technology 11(2), 147–153 (2010)
Gao, H.J., Lamb, J., Wang, C.H.: Multi-objective control of vehicle active suspension systems via load-dependent controllers. Journal of Sound and Vibration 290, 654–675 (2006)
Yildirim, Ş.: Vibration control of suspension systems using a proposed neural network. Journal of Sound and Vibration 277, 1059–1069 (2004)
Wan, Y.H., Li, X.H.: PID tuning based on genetic algorithms. Automation technology and application 23(7), 7–8 (2004) (in Chinese)
Zhao, Q., Che, H.J., Li, J.: Automobile ride optimization simulation based on genetic algorithm. Machinery Design & Manufacture 3(3), 203–205 (2009) (in Chinese)
Feng, J.Z., Li, J., Yu, F.: Ga-based PID and fuzzy logic control for active vehicle suspension system. International Journal of Automotive Technology 4(4), 181–191 (2003)
Kumar, M.S.: Genetic algorithm-based proportional derivative controller for the development of active suspension system. Information Technology and Control 36(1), 58–67 (2007)
Sun, L., Cai, X.M., Yang, J.: Genetic algorithm-based optimum vehicle suspension design using minimum dynamic pavement load as a design criterion. Journal of Sound and Vibration 301, 18–27 (2007)
Chen, S.A., Qiu, F., He, R., Lu, S.L.: A method for choosing weights in a suspension LQG control. Journal of Vibration and Shock 27(2), 65–69 (2008) (in Chinese)
Author information
Authors and Affiliations
Editor information
Editors and Affiliations
Rights and permissions
Copyright information
© 2011 Springer-Verlag Berlin Heidelberg
About this paper
Cite this paper
Chen, S., Xiao, X. (2011). Optimal Design of Structure and Control Parameters of Active Suspension Based on PID Control. In: Zhang, J. (eds) Applied Informatics and Communication. ICAIC 2011. Communications in Computer and Information Science, vol 227. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-23226-8_27
Download citation
DOI: https://doi.org/10.1007/978-3-642-23226-8_27
Publisher Name: Springer, Berlin, Heidelberg
Print ISBN: 978-3-642-23225-1
Online ISBN: 978-3-642-23226-8
eBook Packages: Computer ScienceComputer Science (R0)