2015
DOI: 10.1109/tvt.2014.2336878
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Optimized Virtual Model Reference Control for Ride and Handling Performance-Oriented Semiactive Suspension Systems

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Cited by 24 publications
(14 citation statements)
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“…Therefore, the numerical methods are usually employed to analyze such a system. Considering the application background, the range of frequencies and amplitudes of the road profile during vehicle running is certain, which are normally below 15 Hz and 10 cm, respectively [4][5][6]. We use the common harmonic excitation as the road surface.…”
Section: Stability Analysis For Definition Of Time Coefficient =mentioning
confidence: 99%
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“…Therefore, the numerical methods are usually employed to analyze such a system. Considering the application background, the range of frequencies and amplitudes of the road profile during vehicle running is certain, which are normally below 15 Hz and 10 cm, respectively [4][5][6]. We use the common harmonic excitation as the road surface.…”
Section: Stability Analysis For Definition Of Time Coefficient =mentioning
confidence: 99%
“…When exposed to a magnetic field, the rheology of MRF reversibly and consecutive changes from a free-flowing Newton liquid to a semisolid Bingham with controllable yield strength, which is known as magneto-rheological effect [1][2][3]. Magnetorheological damper (MRD) based on MRF has significant promise for effective vibration damping in many applications, such as MRD-based semiactive suspension system, which has attracted much attention to improve the ride comfort and handling safety of the vehicle [4][5][6]. Nevertheless, there are still numerous challenges in controlling a MRD to get the superior performances, because it has highly nonlinear characteristics and chaotic motion due to typical hysteretic characteristics.…”
Section: Introductionmentioning
confidence: 99%
“…In this paper, the ride comfort indices (vertical acceleration, dynamic stroke, dynamic load) and the handling stability indices (body pitch angle, body roll angle, and yaw rate) are taken into account, and the designed comprehensive index is more specific. On the other hand, scholars mainly use the genetic algorithm [16], linear quadratic regulator (LQR) algorithm [17], fuzzy proportional integral derivative (PID) algorithm [18], and other control methods [19] to design a suspension controller for achieving coordinated control of ride comfort and handling stability, but few use game theory as a control. Ride comfort and handling stability are two contradictory sides, as one falls and the other rises.…”
Section: Introductionmentioning
confidence: 99%
“…Mathematical MacPherson suspension system models have been applied in variety of studies. Study [7] applied semiactive H ∞ control strategy to MacPherson suspension with hybrid control between a skyhook and groundhook algorithm. In [8], independent MacPherson suspension units were used in the two steering axles of a 8×8 vehicle Adams simulation model for optimizing the design of the steering system.…”
Section: Introductionmentioning
confidence: 99%