Passive fault-tolerant control for vehicle active suspension system based on H2/H∞ approach

Zhang, Li Ping; Gong, Dong Liang

doi:10.21595/jve.2017.18264

Cited by 10 publications

(10 citation statements)

References 30 publications

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“…The suspension robust fault-tolerant control can be divided into two categories: First, “knowledge-driven control” based on mechanism model, empirical rules, and domain knowledge, including H∞ control based on state feedback or output feedback 6 – 8 , and H2/H∞ control 9 , 10 , fault-tolerant control based on state observer for estimation and fault reconstruction 11 , 12 , quantized non-fragile feedback control based on dynamic quantizer to deal with faults with or without actuators 13 , adaptive backstep control for the random fault of actuator 14 , and the sky-hook control, acceleration control, power drive control, and hybrid control with a certain passive fault tolerance ability 15 – 19 , a L-function is presented to avoid an effect of model uncertainties and the external disturbances 20 , etc. These control methods have perfect theoretical support, strong interpretability, and high execution efficiency, and are the beginning of the research on controllable suspension systems.…”

Section: Introductionmentioning

confidence: 99%

Research on robust fault-tolerant control of the controllable suspension based on knowledge-data fusion driven

Zhu,

Ding,

Yang

et al. 2023

Sci Rep

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For the robust fault-tolerant control of the controllable suspension system, a control strategy driven by knowledge-data fusion is proposed. Firstly, the boundary fuzziness between perturbation type uncertainty and gain type fault is analyzed, and then a data-driven method is introduced to avoid the state estimation of system uncertainty and fault. The proximal policy optimization algorithm in reinforcement learning is selected to construct a “data control law”, to deal with uncertainty and fault. On the other hand, based on the classical sky-hook control, the “knowledge control law” for system performance optimization is designed, taking into account the nonlinear and non-stationary characteristics of the system. Furthermore, the dependency between robust fault tolerance and performance optimization control is revealed, and the two control laws are fused by numerical multiplication, to realize the performance matching optimization control of robust fault tolerance of controllable suspension system driven by knowledge-data fusion. Finally, the effectiveness and feasibility of the proposed method are verified by the simulation and real-time experiment of non-stationary excitation and near-stationary excitation under the combination of uncertainty and fault.

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Section: Introductionmentioning

confidence: 99%

Research on robust fault-tolerant control of the controllable suspension based on knowledge-data fusion driven

Zhu,

Ding,

Yang

et al. 2023

Sci Rep

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“…In order to make the system insensitive to such perturbation uncertainties and faults, a robust fault-tolerant control is needed. Considering this, extensive research has been carried out on topics such as state feedback passive robust fault-tolerant control [6,7], adaptive robust fault-tolerant control [8], sky-hook fault-tolerant control [9], linear variable parameter control (LPV) [10,11], linear variable parameter model predictive control (LPV-MPC) [12], adaptive fault-tolerant control via the T-S fuzzy method [13], H2/H∞ passive robust fault-tolerant control [14], hybrid control of state feedback compensation and nominal state feedback [15], constrained adaptive backstep tracking controllers [16], H∞ passive robust fault-tolerant control based on output feedback [17], adaptive state feedback robust fault-tolerant control [18], and fault-tolerant prescribed performance control [19]. The above-mentioned research has achieved excellent results.…”

Section: Introductionmentioning

confidence: 99%

“…A time delay can cause the actuator output control force to be out of sync with the control force required by the system, possibly resulting in system instability or performance deterioration [21]. However, the above studies on robust fault-tolerant control of suspension systems do not consider the influence of input time delay [6][7][8][9][10][11][12][13][14][15][16][17][18][19]. Moreover, there is a wealth of existing research on the time delay control of suspension systems, including adaptive backward-step time delay control [21], H∞ state feedback time delay control [22,23], H∞ output feedback time delay control [24], and fuzzy static output feedback (SOF) time delay control based on parallel distributed compensation (PDC) [25].…”

Section: Introductionmentioning

confidence: 99%

See 1 more Smart Citation

A Robust Control for a Controllable Suspension System with an Input Time Delay

Zhu,

Ding,

Yang

et al. 2023

Processes

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In this study, a state feedback robust control strategy with time delay dependence for the uncertainty, fault, and input time delay of a vehicle’s controllable suspension system is designed. Firstly, based on the working principle of the adjustable damping suspension system, the total damping force of the suspension is divided into “foundation damping force” and “controllable damping force”, taking the adjustable damping interval as the constraint boundary, which varies with the actuating velocity. Furthermore, based on the sensitivity analysis of the input time delay’s relationship with damping force disturbance, it exerts influence on the controllable damping force part. The associated uncertainty and fault are defined through linear fraction transformation and proportional gain, respectively, and the two are decoupled from the control mechanism. Then, based on the Lyapunov stability theory, a robust control law for the time-delay-dependent H∞ state feedback is designed and transformed into a linear matrix inequality convex optimization problem to solve. Finally, the feasibility and effectiveness of the proposed method are verified by designing different combinations of uncertainty and fault tests and by comparing and analyzing these with the time-delay-independent H2/H∞ robust control strategy under random and pulse road excitation.

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“…Therefore, an adaptive neuro fuzzy inference system was designed by Senthil et al (2018) to handle actuator dynamics and parameter uncertainty in hydraulic actuator. Zhang and Gong (2018) designed a robust passive fault tolerant control scheme based on 𝐻 2 /𝐻 ∞ and integral sliding mode passive fault tolerant control scheme based on 𝐻 2 /𝐻 ∞ to improve the ride comfort of the active suspension system. In another study, Riaz and Khan (2017) presented a nonlinear full car active suspension system with seated driver biodynamics.…”

Section: Introductionmentioning

confidence: 99%

Linear Quadratic Regulator Based Control Device for Active Suspension System with Enhanced Vehicle Ride Comfort

Putra

Yakub

Rasid³

et al. 2021

JSAEM

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The suspension system is required in an automobile in order to absorb shock that comes from various type of disturbances such as irregular road profile, engine vibrations and wheel. Besides, the suspension plays an important part in enhancing the passenger ride comfort. The suspension will make sure that the tire is always contacted with the road for a better grip and braking. Conventionally, passive suspension has been used in car manufacturing that leads to huge vibrations that affect the ride quality. This is because ride comfort of passengers gets affected by overshoot and settling time of vehicle under vibration. Therefore, a good controller design is required to minimize the vibrations. In this research, an active suspension of quarter car model that considers only vertical movement is utilized in the suspension system. This paper presents a Linear Quadratic Regulator (LQR) method to enhance the vehicle ride comfort towards the vibration of the suspension system. The control design approach is then compared with the classical control which is the Proportional Integral Derivative (PID) that is set as a benchmark control. The results for both controllers are evaluated through simulations in MATLAB and Simulink Software. Other than using the passenger vehicle parameters, the parameters of bus are also tested into the system to investigate the vehicle performance by taking the bumps and road pavements as road disturbances. The results obtained from the simulations show that the responses of the quadratic based approach give the significant improvement in minimizing the vibration and fast settling time compared to passive and PID control.

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Passive fault-tolerant control for vehicle active suspension system based on H2/H∞ approach

Cited by 10 publications

References 30 publications

Research on robust fault-tolerant control of the controllable suspension based on knowledge-data fusion driven

Research on robust fault-tolerant control of the controllable suspension based on knowledge-data fusion driven

A Robust Control for a Controllable Suspension System with an Input Time Delay

Linear Quadratic Regulator Based Control Device for Active Suspension System with Enhanced Vehicle Ride Comfort

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