Semi active damping force estimation using <mml:math xmlns:mml="http://www.w3.org/1998/Math/MathML" altimg="si76.svg"><mml:mrow><mml:mi>L</mml:mi><mml:mi>P</mml:mi><mml:mi>V</mml:mi><mml:mspace width="0.16em" /><mml:mo linebreak="goodbreak">−</mml:mo><mml:mspace width="0.16em" /><mml:msub><mml:mi>H</mml:mi><mml:mi>∞</mml:mi></mml:msub></mml:mrow></mml:math> estimators with different sensing configurations

Tudón-Martínez, Juan C.; Amézquita-Brooks, Luis; Hernández-Alcantara, Diana; Sename, Olivier

doi:10.1016/j.jfranklin.2021.08.031

Cited by 4 publications

(3 citation statements)

References 32 publications

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“…Strohm and Christ compared H ∞ controllers on vehicle suspension systems using preview information on road irregularities [64]. Tudon-Martinez et al studied semi-active force using two linear parameter varying H ∞ (LPV-H ∞ ) filters [82]. Shao et al proposed an H ∞ control with actuator faults and time delay in active suspensions.…”

Section: H2/h∞ Control Systemmentioning

confidence: 99%

A Review on Various Control Strategies and Algorithms in Vehicle Suspension Systems

Ferhath,

Kamalakkannan Kasi

2023

Int. J. Automot. Mech. Eng.

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Automotive suspension systems provide passenger safety, ride comfort and vehicle handling in passenger and commercial vehicles. Through extensive research in the last couple of decades coupled with the recent advancements in technology, the improvement in vehicle handling and ride comfort have been significant by using various control strategies in semi-active and fully active suspension systems. Despite a significant number of articles available on the enhancement and improvement of vehicle suspension systems, there is certainly a lack of knowledge on various control strategies and algorithmic techniques used in the vehicle suspension system. Thereby, to address the gap, this review consecutively attempts to comprehensively explore the various research work conducted on the various control strategies used in vehicle suspension systems.

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Section: H2/h∞ Control Systemmentioning

confidence: 99%

A Review on Various Control Strategies and Algorithms in Vehicle Suspension Systems

Ferhath,

Kamalakkannan Kasi

2023

Int. J. Automot. Mech. Eng.

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“…In the context of active vibration control, the main purpose is to damper the system oscillations below a defined safety threshold. The literature shows applications for vibration reduction using

{H}_{\infty }

control for semi‐active suspension systems, 13,14 individual channel analysis and design for vehicle comfort and maneuverability, 15 adaptive filtering for precision milling, 16 linear quadratic regulators 17 and state‐space based controllers for piezoelectric elements, 18 learning algorithms for small structures, 19 modal control for large machinery rafts 20 and large space structures 21 . The previous discussion shows that when considering large structures, modal control is a prominent scheme.…”

Section: Introductionmentioning

confidence: 99%

Optimization of vibration control using a hybrid scheme with sliding‐mode and positive position feedback

Enríquez‐Zárate,

Gómez‐Peñate,

Hernández

et al. 2023

Optim Control Appl Methods

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This article presents the design of a nonlinear hybrid controller for an underactuated Duffing oscillator with 2 degrees of freedom. The main control purpose is to reduce the frequency‐response to specific resonant‐frequencies while maintaining its robustness to external disturbances. The resulting hybrid controller uses sliding mode control (SMC) with a positive position feedback (PPF) scheme. This is structured such that the SMC provides system robustness and tracking, while the PPF allows damping specific resonant frequencies. The system was evaluated using frequency sweeps in terms of acceleration in the second degree of freedom. In this case, the control input is applied through the first degree of freedom. Moreover, multi‐objective optimization is implemented to tune of the control parameters. Simulation results show that the system response to external vibrations can be reduced up to 83.88% by using the proposed PPF + SMC scheme.

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“…Therefore, the prediction of damping force methods has been developed. Tudon-Matinez et al proposed a linear parameter-varying H-infinity filter based on linear matrix inequality theory dependent on parameters [29]. Prediction-based methods can also be used in controller design.…”

Section: Introductionmentioning

confidence: 99%

Optimal Control Method of Semi-Active Suspension System and Processor-in-the-Loop Verification

Ergin,

Yatak

2023

Applied Sciences

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This study presents an implementation of a proportional–integral–derivative (PID) controller utilizing particle swarm optimization (PSO) to enhance the compromise on road holding and ride comfort of a quarter car semi-active suspension system (SASS) through simulation and experimental study. The proposed controller is verified with a processor-in-the-loop (PIL) approach before real-time suspension tests. Using experimental data, the magnetorheological damper (MR) is modeled by an artificial neural network (ANN). A series of experiments are applied to the system for three distinct bump disturbances. The algorithm performance is evaluated by various key metrics, such as suspension deflection, sprung mass displacement, and sprung mass acceleration for simulation. The phase plane method is used to prove the stability of the system. The experimental results reveal that the proposed controller for the SASS significantly improves road holding and ride comfort simultaneously.

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Semi active damping force estimation using LPV−H∞ estimators with different sensing configurations

Cited by 4 publications

References 32 publications

A Review on Various Control Strategies and Algorithms in Vehicle Suspension Systems

A Review on Various Control Strategies and Algorithms in Vehicle Suspension Systems

Optimization of vibration control using a hybrid scheme with sliding‐mode and positive position feedback

Optimal Control Method of Semi-Active Suspension System and Processor-in-the-Loop Verification

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