Robust non-fragile finite-frequency H∞ static output-feedback control for active suspension systems

Wang, Gang; Chen, Changzheng; Yu, Shenbo

doi:10.1016/j.ymssp.2016.12.039

Cited by 87 publications

(53 citation statements)

References 36 publications

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“…According to the design strategy for quantized nonfragile controller based on state feedback, we can effortlessly formulate the controller based on static feedback and completely remove the additional equivalent constraint conditions such as WC s = C s Q in Reference 22,

\overline{K} {\overline{X}}^{- 1} = K C

in Reference 16, which cannot be directly applied to the nonfragile controller design due to these equivalent constraint conditions. Note that, although a noniteration algorithm based on the single‐step method has been proposed to solve the static output feedback design problem in Reference 16, it is dependent on feasibility of the state feedback design problem in step 1 and adjusting the slack variables. This study presents a different design strategy, which can solve it by one‐step method.…”

Section: Resultsmentioning

confidence: 99%

“…This study considers a 2‐DOF quarter‐vehicle model shown in Figure 1, which is widely used to investigate the active suspension control 16,18 . In this figure, the vehicle chassis and the wheel assembly are respectively represented by the sprung mass m s and the unsprung mass m u , whose vertical displacements are correspondingly denoted by h s and h u ; c s and k s separately represent the damping and stiffness of SS; c t and k t signify the damping and compressibility of pneumatic tire, respectively.…”

Section: Problem Formulationmentioning

confidence: 99%

“…Among different types of SSs, the active suspension system (ASS) is the more attractive ones, due to its great potential in terms of improving vehicle ride comfort and road holding, and plenty of control policy has been developed, such as References 2‐13. Particularly,

ℋ_{\infty}

control is the relative concerned one due to its elegant characterization for ride comfort 11,14‐18 …”

Section: Introductionmentioning

confidence: 99%

“…Because of easy to construct and implement, static output feedback control has drawn much attention and has been applied for the suspension control 15,22‐24 . Wang et al 16 proposed a noniteration algorithm for the robust nonfragile finite‐frequency

ℋ_{\infty}

control problem of vehicle ASSs based on static output‐feedback. However, these results generally introduce some constraints, such as WC s = C s Q in Reference 22, two steps to handle

\overline{K} {\overline{X}}^{- 1} = K C

in Reference 16, which increase the design complexity.…”

Section: Introductionmentioning

confidence: 99%

See 3 more Smart Citations

Nonfragile fault‐tolerant control of suspension systems subject to input quantization and actuator fault

Jun

Chang

Park

et al. 2020

Intl J Robust & Nonlinear

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This study addresses the quantized nonfragile feedback control problem for active suspension systems with and without actuator faults. By considering the input quantization, a class of dynamic quantizers is adopted. The multiplicative controller gain variation is used to describe the actuator parameter perturbation or uncertainty. Apart from the ride comfort, the road holding ability and the hard constraints on suspension deflection and actuator force are also taken into account, which can be treated as a multi-objective control problem. The redundancy of input quantization error is used to formulate the quantized closed-loop system via the descriptor representation approach, then a novel quantized control strategy based on state feedback by separately designing dynamic quantizer and controller is proposed for the closed-loop system with and without actuator faults. The design strategy is a unified and simple one, then can be easily extended to the case of static output feedback, as only part of the variables measured by sensors are available, which avoids some equality constraints in existing works. Finally, some simulation results are presented to validate the feasibility and effectiveness of the developed control strategies. K E Y W O R D S active suspension, input quantization, nonfragile fault-tolerant control, static output feedback 1 INTRODUCTION At present, vehicles are so popular and closely related to all aspects of human life. With the development of vehicle manufacturing and driverless technology, people pay more and more attention to the vehicle safety and riding comfort while liberating their hands. Due to the impact of vertical vibration on the vehicle performance and the drivers' fatigue, health, and discomfort, the vehicle suspension system (SS) is so crucial to inhibit these negative effects. However, the vehicle performance, such as the ride comfort, road holding stability, and maneuverability, generally conflicts with each other; therefore, when design the SS, considerable attention and effort have been paid for the control and optimization problem of these required suspension performances and realizing the trade-off between them. 1 Among different types of SSs, the active suspension system (ASS) is the more attractive ones, due to its great potential in terms of improving vehicle This is an open access article under the terms of the Creative Commons Attribution-NonCommercial-NoDerivs License, which permits use and distribution in any medium, provided the original work is properly cited, the use is non-commercial and no modifications or adaptations are made.

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\overline{K} {\overline{X}}^{- 1} = K C

Section: Resultsmentioning

confidence: 99%

Section: Problem Formulationmentioning

confidence: 99%

ℋ_{\infty}

control is the relative concerned one due to its elegant characterization for ride comfort 11,14‐18 …”

Section: Introductionmentioning

confidence: 99%

ℋ_{\infty}

control problem of vehicle ASSs based on static output‐feedback. However, these results generally introduce some constraints, such as WC s = C s Q in Reference 22, two steps to handle

\overline{K} {\overline{X}}^{- 1} = K C

in Reference 16, which increase the design complexity.…”

Section: Introductionmentioning

confidence: 99%

See 2 more Smart Citations

Nonfragile fault‐tolerant control of suspension systems subject to input quantization and actuator fault

Jun

Chang

Park

et al. 2020

Intl J Robust & Nonlinear

View full text Add to dashboard Cite

show abstract

“…In recent years, it has attracted the attention of a large number of scholars. [13][14][15][16][17][18][19][20][21][22] A robust polytopic type L 2 controller has been designed for an uncertain quarter vehicle suspension. 13 A noniteration feedback method has been developed for active suspension systems with finite-frequency constraint.…”

Section: Introductionmentioning

confidence: 99%

Comfort-enhanced vibration control for delayed active suspensions using relaxed inequalities

Wang

Chen

Zhi-jin

2019

Journal of Low Frequency Noise, Vibration and Active Control

Self Cite

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This paper presents a comfort-enhanced vibration control design approach for vehicle active suspensions with control delay. By introducing some novel relaxed inequalities, a less conservative bounded real lemma is derived such that the suspension system is asymptotically stable and has an enhanced vibration attenuation performance in the presence of road disturbance and control delay. In the control design, an augmented Lyapunov-Krasovskii functional is proposed to enlarge the degree of freedom of design. A suitable controller can be obtained via a sufficient condition with linear matrix inequality constraints. Compared with the previous methods based on frequently used inequalities and the traditional Lyapunov-Krasovskii functional, the proposed controller can provide better comfort performance for different control delays. Finally, the advantages of the proposed method are demonstrated using numerical examples.

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Design and practical implementation of non‐fragile controller for non‐isolated on‐board battery charger for electric vehicle

Kumar,

Sarkar,

Kumar

2024

Circuit Theory & Apps

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SummaryThis paper proposes a non‐fragile control approach for a non‐isolated two‐switch buck‐boost converter used as an on‐board charger for electric vehicles. The control scheme is based on a cascaded two‐loop configuration with non‐fragile Proportional Integral controllers in the inner current and the outer voltage loop. The control approach is based on designing a control law that can stabilize the closed‐loop system subject to uncertainties in the controller parameters while satisfying the H∞ norm bound constraint on disturbance attenuation. The proposed control technique helps to deal with inevitable uncertainties during the implementation of any control scheme. The proposed control technique is compared with the conventional approach and validated through experimental results. The experimental results are obtained from a 1‐kW laboratory prototype of a TSBB converter with an output voltage range of 150–400 V. The results demonstrate that the proposed approach effectively achieves good robustness against controller parameter variations and disturbances under various operating conditions.

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Robust non-fragile finite-frequency H∞ static output-feedback control for active suspension systems

Cited by 87 publications

References 36 publications

Nonfragile fault‐tolerant control of suspension systems subject to input quantization and actuator fault

Nonfragile fault‐tolerant control of suspension systems subject to input quantization and actuator fault

Comfort-enhanced vibration control for delayed active suspensions using relaxed inequalities

Design and practical implementation of non‐fragile controller for non‐isolated on‐board battery charger for electric vehicle

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