Actuator Fault Estimation for Vehicle Active Suspensions Based on Adaptive Observer and Genetic Algorithm

Jin, Pan; Xue, Wenping; Li, Kangji

doi:10.1155/2019/1783850

Cited by 11 publications

(5 citation statements)

References 41 publications

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“…FE results obtained by the RBFNNbased observer, which is proposed in this paper, are denoted as ''RBFNNO.'' Those obtained by the fast FE method combined with parameter optimization 26 are denoted as ''Optimized observer.'' From these figures, it is known that the FE effects of ''RBFNNO'' and full-order fault estimation observer (denoted as ''FFEO''), which can be referred to Theorem 5.2 in Zhang et al 20 Another method, denoted as ''DFO,'' is based on the derivative-free observer 25 (without derivative term in the FE algorithm).…”

Section: Simulation and Analysismentioning

confidence: 99%

“…25 An actuator FE method was discussed for the ASS based on adaptive observer and genetic algorithm. 26 An AFTC strategy was designed for the full-car ASS based on two combined parts: actuator fault compensation and fault mode selector. 27 Simulation results verified that the proposed strategy can improve the ride comfort in the presence of unknown actuator failures.…”

Section: Introductionmentioning

confidence: 99%

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Parameter-dependent actuator fault estimation for vehicle active suspension systems based on RBFNN

Xue

Jin

2021

Proceedings of the Institution of Mechanical Engineers, Part D:

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The actuator fault estimation (FE) problem is addressed in this study for the quarter-car active suspension system (ASS) with consideration of the sprung mass variation. Firstly, the ASS is modeled as a parameter-dependent system with actuator fault and external disturbance input. Then, a parameter-dependent FE observer is designed by using the radial basis function neural network (RBFNN) to approximate the actuator fault. In addition, the design conditions are turned into a linear matrix inequality (LMI) problem which can be easily solved with the aid of LMI toolbox. Finally, simulation and comparison results are given to show the accuracy and rapidity of the proposed FE method, as well as good adaptability against the sprung mass variation. Moreover, a simple FE-based active fault-tolerant control (AFTC) strategy is provided to further demonstrate the effectiveness and applicability of the proposed FE method.

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Section: Simulation and Analysismentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

Parameter-dependent actuator fault estimation for vehicle active suspension systems based on RBFNN

Xue

Jin

2021

Proceedings of the Institution of Mechanical Engineers, Part D:

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“…Suspension systems are significant elements in modern cars [1]. Suspension systems can be categorized into three groups according to the mold of the dampers [2]: passive, semi-active, and active suspension systems.…”

Section: Introductionmentioning

confidence: 99%

RBF-Based Fractional-Order SMC Fault-Tolerant Controller for a Nonlinear Active Suspension

Zhao,

2024

Machines

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Active suspension control technologies have become increasingly significant in improving suspension performance for driving stability and comfort. An RBF-based fractional-order SMC fault-tolerant controller is developed in this research to guarantee ride comfort and handling stability when faced with the partial loss of actuator effectiveness due to failure. To obtain better control performance, fractional-order theory and the RBF algorithm are discussed to solve the jitter vibration problem in SMC, and the RBF is exploited to obtain a more appropriate switching gain. First, a half-nonlinear active suspension model and a fault car model are presented. Then, the design process of the RBF-based fractional-order SMC fault-tolerant controller is described. Next, a simulation is presented to demonstrate the effectiveness of the proposed strategy. According to the simulation, the proposed method can improve performance in the case of a healthy suspension, and the fault-tolerant controller can guarantee the capabilities when actuators go wrong.

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“…Active FTC and FE to a category of nonlinear systems particularly T-S fuzzy models [1][2][3] have a signifcant position in recent control implementation, as well as in supervision and reliability of actuators. In recent decades, a variety of methods have been developed, using adaptive observer [4][5][6] or SMO [7][8][9]. Te sliding mode scheme has an excellent application prospect in fault estimation and fault tolerant control due to its simple structure, strong applicability, and good robustness.…”

Section: Introductionmentioning

confidence: 99%

Simultaneous Multiplicative and Additive Actuator Faults Estimation‐Based Sliding Mode FTC for a Class of Uncertain Nonlinear System

Mabrouk

Brahim

Hmida

2023

Mathematical Problems in Engineering

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In this article, an adaptive sliding mode fault tolerant control (FTC) is improved in the case of uncertain nonlinear system which is affected by both multiplicative and additive faults in actuator. Especially, when the nonlinear system is modeled by Takagi–Sugeno (T-S) fuzzy system with local nonlinear model. The main contribution of this paper is developing a model of multiplicative faults, which offers a more realistic dynamic evolution of the actuator degradation. The degradation process is modeled by Wiener process and estimated by the maximum likelihood estimation (MLE). Sliding mode observer (SMO) is conceived to realize the additive actuator faults using convex multiobjective optimization. On these bases, the estimated multiplicative and additive actuator faults are used to design the adaptive sliding mode controller (SMC). Finally, the proposed fault-tolerant control scheme is demonstrated by the results of inverted pendulum system simulation.

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Actuator Fault Estimation for Vehicle Active Suspensions Based on Adaptive Observer and Genetic Algorithm

Cited by 11 publications

References 41 publications

Parameter-dependent actuator fault estimation for vehicle active suspension systems based on RBFNN

Parameter-dependent actuator fault estimation for vehicle active suspension systems based on RBFNN

RBF-Based Fractional-Order SMC Fault-Tolerant Controller for a Nonlinear Active Suspension

Simultaneous Multiplicative and Additive Actuator Faults Estimation‐Based Sliding Mode FTC for a Class of Uncertain Nonlinear System

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