Design of fuzzy controller for active suspension system

Ting, Chen‐Sheng; Li, Tzuu-Hseng S.; Kung, Fan‐Chu

doi:10.1016/0957-4158(95)00014-v

Cited by 45 publications

(18 citation statements)

References 15 publications

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“…1)/2 instead of r 2 which allow, with the slack variables S ij , to introduce more of relaxation. Figure 1 shows the active Quarter-Car suspension with 2DOF (degree of freedom) and force-generating actuator [11,31,32]. We consider the nonlinearity effet of spring given by the following equations [17,18]:…”

Section: Optimization Of the Domain Of Attractionmentioning

confidence: 99%

“…Indeed, many control approaches such as crone control [31,32], impedance control [24], backstepping control [20], singular perturbation [17], controller H ? based [18,26], adaptive sliding controller [25] and fuzzy control [11,22,23] are applied to control active suspensions. However in the aforementioned papers, authors have not taken into account the inherent nonlinearity of actuator saturations.…”

Section: Introductionmentioning

confidence: 99%

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H∞ control of multiple model subject to actuator saturation: application to quarter-car suspension system

Saifia

Chadli

Labiod

2011

Analog Integr Circ Sig Process

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This paper deals with the H ? control of nonlinear systems in multiple model representation subject to actuator saturation. An application to Quarter-Car suspension system under actuator saturation is then given using the multiple model approach. The concept of so-called parallel distributed compensation (PDC) is employed for designing control system. The idea of this controller consists in designing a linear feedback control for each local linear model. To address the input saturation problem in this paper, both constrained and saturated controls input cases are proposed. In the two cases, H ? stabilization conditions in the sense of Lyapunov method are derived. Moreover, a controller design with larger attraction domain is formulated and solved as a linear matrix inequality (LMI) optimization problem. Our simulation results show that both the saturated and constrained controls can stabilize the resulting closed-loop suspension system and eliminate the effect of external disturbances. Indeed, the main roles of car suspension systems, which consist on improving ride comfort of passengers and the road holding capacity of the vehicle, are achieved.

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Section: Optimization Of the Domain Of Attractionmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

H∞ control of multiple model subject to actuator saturation: application to quarter-car suspension system

Saifia

Chadli

Labiod

2011

Analog Integr Circ Sig Process

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“…Regarding to the VDCS, fuzzy logic was used to design a controller for the ASC system [4]. Compared to the conventional control theory, fuzzy control does not rely on the analysis of a mathematical model of the process.…”

Section: Introductionmentioning

confidence: 99%

“…Compared to the conventional control theory, fuzzy control does not rely on the analysis of a mathematical model of the process. In addition, its rules are frequently adopted from expert's knowledge or operator's experience [4].…”

Section: Introductionmentioning

confidence: 99%

Numerical analysis of vehicle-to-vehicle impact using vehicle dynamics control systems for collision mitigation

Elmarakbi

Elkady

MacIntyre

2013

Int. J. Dynam. Control

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This paper focuses on the use of vehicle dynamics control systems (VDCS) to mitigate vehicle collisions in case of offset frontal vehicle-to-vehicle crash scenario. A unique 6-degree-of-freedom vehicle dynamics/crash mathematical model is developed and analyzed in this research. The model is used to define the vehicle body crash parameters by integrating a vehicle dynamics model with a vehicle front-end structure model. In this model, the anti-lock braking system and the active suspension control system are co-simulated with the full car vehicle dynamics model and integrated with the front-end structure. The associated equations of motion of the model are developed and solved numerically. Four different cases of VDCS are investigated in this paper and their associated results are compared with the free rolling case scenario. It is shown from the numerical simulations that the vehicle dynamics/crash response can be captured and analyzed quickly and accurately. Furthermore, it is shown that the VDCS affect the crash characteristics positively.

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“…In this way fuzzy control becomes less dependent on human logic. Ting et al [18] employed a sliding-mode-fuzzy control strategy to design a stable controller for a quarter-car (2-dof) model of the active suspension system. The controller was organised at two levels.…”

Section: Introductionmentioning

confidence: 99%

Fuzzy Sliding Mode Control of Plate Vibrations

Sharma

Singh

2010

Shock and Vibration

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Abstract. In this paper, fuzzy logic is meshed with sliding mode control, in order to control vibrations of a cantilevered plate. Test plate is instrumented with a piezoelectric sensor patch and a piezoelectric actuator patch. Finite element method is used to obtain mathematical model of the test plate. A design approach of a sliding mode controller for linear systems with mismatched time-varying uncertainties is used in this paper. It is found that chattering around the sliding surface in the sliding mode control can be checked by the proposed fuzzy sliding mode control approach. With presented fuzzy sliding mode approach the actuator voltage time response has a smooth decay. This is important because an abrupt decay can excite higher modes in the structure. Fuzzy rule base consisting of nine rules, is generated from the sliding mode inequality. Experimental implementation of the control approach verify the theoretical findings. For experimental implementation, size of the problem is reduced using modal truncation technique. Modal displacements as well as velocities of first two modes are observed using real-time kalman observer. Real time implementation of fuzzy logic based control has always been a challenge because a given set of rules has to be executed in every sampling interval. Results in this paper establish feasibility of experimental implementation of presented fuzzy logic based controller for active vibration control. Nomenclature

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Design of fuzzy controller for active suspension system

Cited by 45 publications

References 15 publications

H∞ control of multiple model subject to actuator saturation: application to quarter-car suspension system

H∞ control of multiple model subject to actuator saturation: application to quarter-car suspension system

Numerical analysis of vehicle-to-vehicle impact using vehicle dynamics control systems for collision mitigation

Fuzzy Sliding Mode Control of Plate Vibrations

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