Robust modelling and control of vehicle active suspension with MR damper

Wang, Jun; Deng, Chun; Shen, Yan; Wei, Junqing

doi:10.1080/00423110801993136

Cited by 13 publications

(8 citation statements)

References 11 publications

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“…Semi-active and active suspension model of a vehicle are based on different physical properties. These physical principles are classified as: magneto-rheological dampers 3–8 and electromagnetic, 9 electro-hydraulic actuators, 10 electro-rheological fluid damper. 11–13 In order to control the semi-active and active suspension models, different types of controllers have been developed with a focus on the robustness of the controller against uncertain parameters or satisfying the constraints related to the states of the vehicle or constraints on the control signal.…”

Section: Related Workmentioning

confidence: 99%

Constrained model predictive control of a vehicle suspension using Laguerre polynomials

Dogruer

2019

Proceedings of the Institution of Mechanical Engineers, Part C:

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In this paper, a fast constrained model predictive control algorithm was designed for the active suspension of a half-car model to increase the controller bandwidth so that high frequency displacement disturbance coming from the road can be rejected. To this end, a quasi-LTI model of a semi-active suspension model was controlled by a model predictive controller with orthogonal Laguerre polynomials. With the use of Laguerre polynomials, it has been shown that the optimization parameter set could be made minimal, and thereby it has been shown that on-line optimization takes less time. With numerical simulations, it has been shown that the time complexity of a model predictive control having Laguerre polynomials is linear in the length of prediction horizon, whereas time complexity of a regular model predictive control is quadratic in the length of prediction horizon. Since it has been shown that time complexity of the constrained model predictive controller with orthogonal Laguerre polynomial is reduced, it is possible to extend the prediction horizon to large values. Further, constraints on the input signal and the state vector were also discussed within this context.

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Section: Related Workmentioning

confidence: 99%

Constrained model predictive control of a vehicle suspension using Laguerre polynomials

Dogruer

2019

Proceedings of the Institution of Mechanical Engineers, Part C:

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“…In Ref. [20], a kind of 2-order weighting function donated as c s 2 þc 1 sþd 1 s 2 þc 2 sþd 2 was proposed and function as c c 1 sþd 1 s 2 þc 2 sþd 2 was applied in Ref. [21].…”

Section: H1 Control Strategymentioning

confidence: 99%

Design of active and energy-regenerative controllers for DC-motor-based suspension

Zhang

Cao

2012

Mechatronics

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“…Robust control strategy has been proposed to deal with the parameter uncertainties like sprung mass uncertainty, damper time delay, or time constant uncertainty, etc. [7,12,15]. On the other hand, for a semi-active suspension with MR or ER dampers, the control input current/voltage or electric filed sent to the dampers is always limited.…”

Section: Introductionmentioning

confidence: 97%

“…In particular, semi-active suspensions offer desirable performance enhanced by active suspensions without requiring high power consumption and expensive hardware. In recent several years, semi-active suspension using magnetorheological (MR) dampers [5][6][7][8][9] or electrorheological (ER) dampers [10][11][12][13][14] has been studied by many researchers.…”

Section: Introductionmentioning

confidence: 99%

Robust control of vehicle electrorheological suspension subject to measurement noises

Zhang

Naghdy

2011

Vehicle System Dynamics

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In this paper, a novel robust control approach is presented for a semi-active suspension with electrorheological (ER) dampers considering suspension parameter uncertainties, control input constraint, and measurement noises. By representing the suspension with parameter uncertainties in a polytopic form, applying a norm-bounded approach to handle control input constraint, and constructing an appropriate observer to estimate state variables from noisy measurements, the design of this controller is realised by solving a finite number of linear matrix inequalities with optimised H ∞ performance on ride comfort and estimation error. Numerical simulations on a quarter-car suspension with an ER damper are performed to validate the effectiveness of the proposed approach. The obtained results show that the designed controller can achieve good suspension performance despite the presence of measurement noises and the variations on sprung mass and ER damper time constant with constrained control input.

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Robust modelling and control of vehicle active suspension with MR damper

Cited by 13 publications

References 11 publications

Constrained model predictive control of a vehicle suspension using Laguerre polynomials

Constrained model predictive control of a vehicle suspension using Laguerre polynomials

Design of active and energy-regenerative controllers for DC-motor-based suspension

Robust control of vehicle electrorheological suspension subject to measurement noises

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