Adaptive fuzzy fault‐tolerant control of seat active suspension systems with actuator fault

Zhang, Xing; Liu, Lei

doi:10.1049/cth2.12107

Cited by 12 publications

(4 citation statements)

References 43 publications

(62 reference statements)

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“…Among these, fault diagnosis methods have been investigated for traction devices of HSTs, such as rectifier (Chen et al, 2021), converter (Tao et al, 2022), traction motor (Zou et al, 2021) and pantograph (Lu et al, 2021). Other excellent results have been reported for brake system (Ji, 2021), bogie (Huang et al, 2021) and suspension system (Zhang et al, 2021). However, these methods only focus on fault diagnosis of the structural components and not train movements with complicated nonlinear characteristics.…”

Section: Introductionmentioning

confidence: 99%

Optimized adaptive filtering for fault estimation of the dynamics of high-speed train based on robust extended Kalman filter

Liang

Wang

et al. 2023

Transactions of the Institute of Measurement and Control

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In this paper, an optimized adaptive robust extended Kalman filter is proposed based on random weighting factors and an improved whale optimization algorithm for fault estimation of the dynamics of high-speed trains with constant time delays, drastically changing noise and stochastic uncertainties. Robust upper bounds are proposed to improve the performance of the extended Kalman filter by decreasing the influence of the linearization error on filtering for the dynamics of high-speed trains with constant time delays, and its robustness is proven to guarantee the feasibility of the proposed upper bounds. Furthermore, considering drastically changing noise with unknown statistics, a random weighting adaptive algorithm is proposed to implement unbiased noise estimation so that the robust extended Kalman filter can still be implemented well. In addition, a differential evolution algorithm and adaptive parameter are introduced to improve the performance of the whale optimization algorithm so that the stochastic uncertainties are optimized, and the influence of the stochastic uncertainties on filtering is further decreased. The simulation results in the three conditions show that, compared with the variational Bayes adaptive iterated extended Kalman filter, using the proposed method, the position, speed and fault estimation errors are decreased by 31.8%, 33.2% and 28.3%, respectively, on average, which depends on more accurate noise estimation.

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Section: Introductionmentioning

confidence: 99%

Optimized adaptive filtering for fault estimation of the dynamics of high-speed train based on robust extended Kalman filter

Liang

Wang

et al. 2023

Transactions of the Institute of Measurement and Control

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show abstract

“…In this regard, researchers have proposed a series of fault-tolerant control (FTC) methods. 26,[46][47][48][49][50][51] For example, the time-delay interconnection nonlinear system with dead zone input was studied 26 based on prescribed performance. The adaptive neural fault-tolerant decentralized control scheme was constructed by utilizing the backstepping decentralized control scheme.…”

Section: Introductionmentioning

confidence: 99%

“…Therefore, how to enhance the dynamic system's safety and reliability so that the system's stability cannot be affected by the fault is very important and has become an increasingly pressing issue. In this regard, researchers have proposed a series of fault‐tolerant control (FTC) methods 26,46‐51 . For example, the time‐delay interconnection nonlinear system with dead zone input was studied 26 based on prescribed performance.…”

Section: Introductionmentioning

confidence: 99%

Adaptive fault‐tolerant decentralized tracking control of switched stochastic uncertain nonlinear systems with time‐varying delay

Cui

Zou

Guo

et al. 2022

Adaptive Control & Signal

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In this article, an adaptive neural fault-tolerant decentralized tracking control problem is investigated for switched stochastic large-scale uncertain nonlinear systems, in which time-varying delay and unknown control coefficient are under consideration. By incorporating the quadratic Lyapunov function and Lyapunov Krasovskii function into the backstepping approach, an adaptive neural fault-tolerant decentralized control strategy is proposed, which ensures that signals in the closed-loop system are stable in probability and the tracking error converges to a small neighborhood of the origin under arbitrary switching. At last, to verify the presented strategy is feasible, a simulation example is given.

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“…Zhang et al [ 24 ] proposed an adaptive fuzzy fault-tolerant control for a seat active suspension system with an actuator fault. They proved the effectiveness of this method through simulation.…”

Section: Introductionmentioning

confidence: 99%

Research on Vibration Reduction Performance of Electromagnetic Active Seat Suspension Based on Sliding Mode Control

Xie

Che

Liu

et al. 2022

Sensors

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Vehicle seats have a significant impact on the comfort of passengers. The development of seats is a field in which scholars are widely concerned. In this study, we add an electromagnetic levitation structure and design a new active seat suspension based on the passive seat suspension. Then, simulation research is carried out based on a C-level road surface combined with integral sliding mode control and state feedback control. The results show that both state feedback control and integral sliding mode control positively affect vehicle seat vibration reduction, and integral sliding mode control has a better anti-interference effect than state feedback control. At the same time, it is proved that the seat suspension has good working characteristics and economy.

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Adaptive fuzzy fault‐tolerant control of seat active suspension systems with actuator fault

Cited by 12 publications

References 43 publications

Optimized adaptive filtering for fault estimation of the dynamics of high-speed train based on robust extended Kalman filter

Optimized adaptive filtering for fault estimation of the dynamics of high-speed train based on robust extended Kalman filter

Adaptive fault‐tolerant decentralized tracking control of switched stochastic uncertain nonlinear systems with time‐varying delay

Research on Vibration Reduction Performance of Electromagnetic Active Seat Suspension Based on Sliding Mode Control

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