Adaptive Sliding-Mode Control for Nonlinear Active Suspension Vehicle Systems Using T–S Fuzzy Approach

Li, Hongyi; Yu, Jinyong; Hilton, Christopher; Liu, Honghai

doi:10.1109/tie.2012.2202354

Cited by 642 publications

(326 citation statements)

References 39 publications

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“…It is easy to conclude that if there is a positive definite matrix = > 0, such that the following linear matrix inequality (LMI) is satisfied [29]:…”

Section: Controller Designmentioning

confidence: 99%

An Energy Saving Variable Damping Seat Suspension System With Regeneration Capability

Ning

Sun

et al. 2018

IEEE Trans. Ind. Electron.

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In this paper, an energy saving variable damping seat suspension system is designed, manufactured and validated. A controllable electromagnetic damper (EMD), which consists of a permanent magnet synchronous motor (PMSM), a 3-phase rectifier, a metal-oxide-semiconductor field-effect transistor (MOSFET) switch module, an external resistor, a diode, and a capacitor, is designed and tested firstly. The EMD is integrated with a planetary gearbox to amplify its torque output, and both of them are installed on the centre of the scissors structure of a seat suspension. The EMD's damping property can be controlled by exerting pulse width modulation (PWM) signal with different duty cycles on the MOSFET switch module. By analysing the EMD test results and the seat suspension's kinematic, the controllable damping of the EMD is derived from 115.68 Ns/m to 669.74 Ns/m. A control method for vibration isolation is proposed considering that the generated damping force is reverse to the suspension's relative velocity, and its value is related to both the damping coefficient and the relative velocity, thus the desired control force can be partially achieved by the variable damper. The proposed variable damping seat suspension and its controller are validated on a 6-degree of freedom (6-DOF) vibration platform in both frequency domain and time domain. The test results show that the controlled variable damping seat suspension has better performance in vibration isolation than the proposed seat with highest and lowest damping, and the conventional passive one. In the meantime, the RMS value of the system harvestable power is 1.492 W, and the power consumption of the PWM control signal is very few. Therefore, this variable damping seat suspension can improve the ride comfort with ignorable energy cost.

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“…It is easy to conclude that if there is a positive definite matrix = > 0, such that the following linear matrix inequality (LMI) is satisfied [29]:…”

Section: Controller Designmentioning

confidence: 99%

An Energy Saving Variable Damping Seat Suspension System With Regeneration Capability

Ning

Sun

et al. 2018

IEEE Trans. Ind. Electron.

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“…Since then, the T-S FMB control systems have drawn the attention of fuzzy control researchers for more than 20 years due to its effectiveness on handling nonlinear control systems [7,8]. In particular, the issues of stability analysis and control synthesis have been investigated extensively and fruitful results can be found in [2,[9][10][11][12][13][14][15][16][17][18][19] and the references therein.…”

Section: Introductionmentioning

confidence: 99%

Membership-Function-Dependent Stability Analysis and Control Synthesis of Guaranteed Cost Fuzzy-Model-Based Control Systems

Lam

Xiao

et al. 2016

Int. J. Fuzzy Syst.

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This paper focuses on the guaranteed cost stability analysis of fuzzy-model-based (FMB) control systems. Representing the nonlinear plant using a TakagiSugeno (T-S) fuzzy model, a fuzzy controller is employed to close the feedback loop. A weighted linear quadratic cost function is considered as the cost index to measure the performance of the closed-loop fuzzy system in terms of the system states, system outputs, and control signals. The stability of the FMB control system is investigated by the Lyapunov stability theory subject to the minimization of cost index for performance realization. A membershipfunction-dependent approach using the piecewise-linear membership functions is employed to include the information of membership functions into the stability analysis. Membership-function-dependent stability conditions in terms of linear matrix inequalities are obtained to determine the system stability and feedback gains with the consideration of the system performance measured by the cost function. A simulation example is provided to illustrate the effectiveness and merits of the proposed approach.

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“…Many semi-active suspension control methods have been proposed to manage the tradeoff between conflicting performances, which means a minimization of suspension deflection cannot be accomplished simultaneously with the maximization of ride comfort [9,29,30]. These control techniques includes fuzzy logic control [7,14], fuzzy self-adaptive PI-Smith control [22], adaptive control [18], H ∞ control [11,31], and sliding mode control [13].…”

Section: Introductionmentioning

confidence: 99%

Stability analysis and fuzzy smith compensation control for semi-active suspension systems with time delay

Pang

Liu

2015

IFS

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Abstract. This paper investigates the problem of stability analysis and fuzzy-smith compensation control for semi-active suspension systems with time delay. The dynamic system of the suspension system with time delay is first formulated in terms of control objectives, such as ride comfort, road handling, and suspension deflection. By using the Lyapunov stability analysis, the necessary and sufficient condition of the critical time delay for the semi-active suspension is derived, and the numerical computation method of solving the asymptotic stability area for this suspension system is presented. Then, our work focuses on designing a Fuzzy-Smith predictive controller to satisfy suspension performance requirements. The control law adopted here is based on the smith predictive control principle, which ensures the control accuracy and stability of a time-delay suspension system. In order to overcome the challenging issues of the model uncertainties of input time delay, a Fuzzy-Smith predictive controller with time delay is established for the semi-active suspension. Furthermore, simulation and test results for the semi-active suspension are provided to demonstrate the effectiveness and feasibility of the proposed method.

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Adaptive Sliding-Mode Control for Nonlinear Active Suspension Vehicle Systems Using T–S Fuzzy Approach

Cited by 642 publications

References 39 publications

An Energy Saving Variable Damping Seat Suspension System With Regeneration Capability

An Energy Saving Variable Damping Seat Suspension System With Regeneration Capability

Membership-Function-Dependent Stability Analysis and Control Synthesis of Guaranteed Cost Fuzzy-Model-Based Control Systems

Stability analysis and fuzzy smith compensation control for semi-active suspension systems with time delay

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