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Proportional-integral state-feedback controller optimization for a full-car active suspension setup using a genetic algorithm

Michiel Haemers (UGent) , Stijn Derammelaere (UGent) , Clara-Mihaela Ionescu (UGent) , Kurt Stockman (UGent) , Jasper De Viaene (UGent) and Florian Verbelen (UGent)
(2018) IFAC PAPERSONLINE. 51(4). p.1-6
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Abstract
The use of active car suspensions to maximize driver comfort has been of growing interest in the last decades. Various active car suspension control technologies have been developed. In this work, an optimal control for a full-car electromechanical active suspension is presented. Therefore, a scaled-down lab setup model of this full-car active suspension is established, capable of emulating a car driving over a road surface with a much simpler approach in comparison with a classical full-car setup. A kinematic analysis is performed to assure system behaviour which matches typical full-car dynamics. A state-space model is deducted, in order to accurately simulate the behaviour of a car driving over an actual road pro le, in agreement with the ISO 8608 norm. The active suspension control makes use of a Multiple-Input-Multiple- Output (MIMO) state-feedback controller with proportional and integral actions. The optimal controller tuning parameters are determined using a Genetic Algorithm, with respect to actuator constraints and without the need of any further manual fine-tuning.
Keywords
Active vehicle suspension, Proportional plus integral controllers, Genetic Algorithm, Full-car model, Constraint satisfaction problems

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Citation

Please use this url to cite or link to this publication:

Chicago
Haemers, Michiel, Stijn Derammelaere, Clara-Mihaela Ionescu, Kurt Stockman, Jasper De Viaene, and Florian Verbelen. 2018. “Proportional-integral State-feedback Controller Optimization for a Full-car Active Suspension Setup Using a Genetic Algorithm.” In Ifac Papersonline, 51:1–6. Ghent.
APA
Haemers, M., Derammelaere, S., Ionescu, C.-M., Stockman, K., De Viaene, J., & Verbelen, F. (2018). Proportional-integral state-feedback controller optimization for a full-car active suspension setup using a genetic algorithm. IFAC PAPERSONLINE (Vol. 51, pp. 1–6). Presented at the 3rd IFAC Conference on Advances in Proportional-Integral-Derivative Control (PID), Ghent.
Vancouver
1.
Haemers M, Derammelaere S, Ionescu C-M, Stockman K, De Viaene J, Verbelen F. Proportional-integral state-feedback controller optimization for a full-car active suspension setup using a genetic algorithm. IFAC PAPERSONLINE. Ghent; 2018. p. 1–6.
MLA
Haemers, Michiel, Stijn Derammelaere, Clara-Mihaela Ionescu, et al. “Proportional-integral State-feedback Controller Optimization for a Full-car Active Suspension Setup Using a Genetic Algorithm.” Ifac Papersonline. Vol. 51. Ghent, 2018. 1–6. Print.
@inproceedings{8559251,
  abstract     = {The use of active car suspensions to maximize driver comfort has been of growing
interest in the last decades. Various active car suspension control technologies have been
developed. In this work, an optimal control for a full-car electromechanical active suspension
is presented. Therefore, a scaled-down lab setup model of this full-car active suspension is
established, capable of emulating a car driving over a road surface with a much simpler approach
in comparison with a classical full-car setup. A kinematic analysis is performed to assure system
behaviour which matches typical full-car dynamics. A state-space model is deducted, in order
to accurately simulate the behaviour of a car driving over an actual road pro\unmatched{000c}le, in agreement
with the ISO 8608 norm. The active suspension control makes use of a Multiple-Input-Multiple-
Output (MIMO) state-feedback controller with proportional and integral actions. The optimal
controller tuning parameters are determined using a Genetic Algorithm, with respect to actuator
constraints and without the need of any further manual \unmatched{000c}fine-tuning.},
  author       = {Haemers, Michiel and Derammelaere, Stijn and Ionescu, Clara-Mihaela and Stockman, Kurt and De Viaene, Jasper and Verbelen, Florian},
  booktitle    = {IFAC PAPERSONLINE},
  issn         = {2405-8963 },
  keyword      = {Active vehicle suspension,Proportional plus integral controllers,Genetic Algorithm,Full-car model,Constraint satisfaction problems},
  language     = {eng},
  location     = {Ghent, Belgium},
  number       = {4},
  pages        = {1--6},
  title        = {Proportional-integral state-feedback controller optimization for a full-car active suspension setup using a genetic algorithm},
  url          = {http://dx.doi.org/10.1016/j.ifacol.2018.06.004},
  volume       = {51},
  year         = {2018},
}

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