Application of LQ based semi-active suspension control in a vehicle

Unger, Andreas; Schimmack, Frank; Lohmann, Boris; Schwarz, Ralf

doi:10.3182/20110828-6-it-1002.02341

Cited by 28 publications

(19 citation statements)

References 33 publications

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“…electro hydraulic, electro rheological and magneto rheological damper), and the design of dedicated semi-active control strategies (see e.g. Hrovat (1997); Ahmadian and Reichert (2001); Guardabassi and Savaresi (2001); Giua et al (2004); Geurts et al (2006); Savaresi et al (2010); Unger et al (2011); Do et al (2011b) and references therein).…”

Section: Motivations and Frameworkmentioning

confidence: 99%

Survey and performance evaluation on some automotive semi-active suspension control methods: A comparative study on a single-corner model

Poussot-Vassal

Spelta

Sename

et al. 2012

Annual Reviews in Control

151

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In this paper, an overview and a benchmark of some semi-active suspension control strategy performances is proposed. Based on a recent result of the authors, where the optimal semi-active performance trade-off was addressed, here, a complete benchmark to evaluate any controlled semi-active suspensions is proposed, and applied on different control approaches. The present paper aims at providing a picture -as complete as possible -of the present state of the art in the semi-active suspension control field in terms of comfort and road-holding performance evaluation and trade-off.

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Section: Motivations and Frameworkmentioning

confidence: 99%

Survey and performance evaluation on some automotive semi-active suspension control methods: A comparative study on a single-corner model

Poussot-Vassal

Spelta

Sename

et al. 2012

Annual Reviews in Control

151

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“…In [12] the State Dependent Riccati Equation (SDRE) controller design technique was assessed. In [13] a LQG suspension controller was first designed. Subsequently, the commanded force was clipped to match the damper's controllability range (dampers can only generate negative forces).…”

Section: Introductionmentioning

confidence: 99%

Optimal design of a quadratic parameter varying vehicle suspension system using contrast-based Fruit Fly Optimisation

Kanarachos

Dizqah

Chrysakis

et al. 2018

Applied Soft Computing

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Article (Accepted Version) http://sro.sussex.ac.uk Kanarachos, Stratis, Dizqah, Arash Moradinegade, Chrysakis, Georgios and Fitzpatrick, Michael E (2018) Optimal design of a quadratic parameter varying vehicle suspension system using contrast-based fruit fly optimisation. Applied Soft Computing, 62. pp. 463-477. ISSN 1568 4946 -Original citation: Kanarachos, S; Moradinegade Dizqah, A; Chrysakis, G. and Fitzpatrick, M.E. (2017) Optimal design of a quadratic parameter varying vehicle suspension system using contrast-based Fruit Fly Optimisation Applied Soft Computing (in press). Abstract:In the UK, in 2014 almost fifty thousand motorists made claims about vehicle damages caused by potholes. Pothole damage mitigation has become so important that a number of car manufacturers have officially designated it as one of their priorities. The objective is to improve suspension shock performance without degrading road holding and ride comfort. In this study, it is shown that significant improvement in performance is achieved if a clipped quadratic parameter varying suspension is employed. Optimal design of the proposed system is challenging because of the multiple local minima causing global optimisation algorithms to get trapped at local minima, located far from the optimum solution. To this end an enhanced Fruit Fly Optimisation Algorithmbased on a recent study on how well a fruit fly's tiny brain finds foodwas developed. The new algorithm is first evaluated using standard and nonstandard benchmark tests and then applied to the computationally expensive suspension design problem. The proposed algorithm is simple to use, robust and well suited for the solution of highly nonlinear problems. For the suspension design problem new insight is gained, leading to optimum damping profiles as a function of excitation level and rattle space velocity.

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“…It is shown by measurements on a four-post-test-rig and measurements on a real car that an improvement in ride comfort can be achieved with this control topology. [13] Measurements on a high end sports car show that the LQ controller also lends itself for the control of multiple objectives, [14] in this case also taking into account suspension travel and tire compression. The authors find that good comfort as well as, a reduction in suspension travel can be achieved.…”

Section: Introductionmentioning

confidence: 99%

“…[13,14] With this control topology state feedback gains are calculated by solving a Riccati equation. Forces calculated by the controller are then saturated by the actuator limits.…”

Section: Introductionmentioning

confidence: 99%

Rule-based control of a semi-active suspension for minimal sprung mass acceleration: design and measurement

Sande

Besselink

Nijmeijer

2016

Vehicle System Dynamics

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Application of LQ based semi-active suspension control in a vehicle

Cited by 28 publications

References 33 publications

Survey and performance evaluation on some automotive semi-active suspension control methods: A comparative study on a single-corner model

Survey and performance evaluation on some automotive semi-active suspension control methods: A comparative study on a single-corner model

Optimal design of a quadratic parameter varying vehicle suspension system using contrast-based Fruit Fly Optimisation

Rule-based control of a semi-active suspension for minimal sprung mass acceleration: design and measurement

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