Model for the study of active suspensions

Marcu, Sorin; Popa, Dinel; Stănescu, Nicolae–Doru; Nicolae, Petre-Marian

doi:10.1088/1757-899x/252/1/012032

Cited by 6 publications

(7 citation statements)

References 3 publications

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“…where The values of are obtained by back substitution into the equation from the (1) to (8). After obtained the state equation, we put into state matrix:…”

Section: Equations Of Motionmentioning

confidence: 99%

“…This is verified by determining the rank of the controllability matrix (A, B). Therefore, the controllability matrix (A, B) of the active suspension system as shown in the appendix B has full rank (8), which makes it fully controllable. It is also known that if the system is minimal realized, then it is fully accessible and observable.…”

Section: Systemanalysis and Controller Designmentioning

confidence: 99%

“…In order to design linear quadratic regulator controller, all states should be measurable and are sensed by its own individual sensor. Fourteen sensors are used to get information from each state which is bulky and requires high cost [8], [9]. Thus, a means of technique to reduce the number of states and sensors to a minimal number without affecting the behavior of the original model system is investigated.…”

Section: Introductionmentioning

confidence: 99%

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Optimization of automobile active suspension system using minimal order

Finecomes

Gebre²,

Mesene

et al. 2022

IJECE

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<p><span>This paper presents an analysis and design of linear quadratic regulator for reduced order full car suspension model incorporating the dynamics of the actuator to improve system performance, aims at benefiting: Ride comfort, long life of vehicle, and stability of vehicle. Vehicle’s road holding or handling and braking for good active safety and driving pleasure, and keeping vehicle occupants comfortable and reasonably well isolated from road noise, bumps, and vibrations are become a key research area conducted by many researchers around the globe. Different researchers were tested effectiveness of different controllers for different vehicle model without considering the actuator dynamics. In this paper full vehicle model was reduced to a minimal order using minimal realization technique. The entire system responses were simulated in MATLAB/Simulink environment. The effectiveness of linear quadratic regulator controller was compared for the system model with and without actuator dynamics for different road profiles. The simulation results were indicated that percentage reduction in the peak value of vertical and horizontal velocity for the linear quadratic regulator with actuator dynamics relative to linear quadratic regulator without actuator dynamics was 28.57%. Overall simulation results were demonstrated that proposed control scheme has able to improve the effectiveness of the car model for both ride comfort and stability.</span></p>

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“…where The values of are obtained by back substitution into the equation from the (1) to (8). After obtained the state equation, we put into state matrix:…”

Section: Equations Of Motionmentioning

confidence: 99%

Section: Systemanalysis and Controller Designmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

See 1 more Smart Citation

Optimization of automobile active suspension system using minimal order

Finecomes

Gebre²,

Mesene

et al. 2022

IJECE

View full text Add to dashboard Cite

show abstract

“…Besides, the active suspension system which is equipped with the hydraulic actuator can generate the corresponding forces to improve the stability and comfort of the suspension system [6]. In [7], Marcu et al introduced the active suspension system model. In addition, the active suspension system which uses an electromagnetic actuator also shows high performance when using it to replace the conventional passive suspension system [8].…”

Section: Introductionmentioning

confidence: 99%

Improving the Comfort of the Vehicle Based on Using the Active Suspension System Controlled by the Double‐Integrated Controller

Nguyen

2021

Shock and Vibration

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When the vehicle moves on the road, many external factors affect the vehicle. These effects can cause oscillation and instability for the vehicle. The oscillation of the vehicle directly affects the safety and comfort of passengers. The suspension system is used to control and extinguish these oscillations. However, the conventional passive suspension system is unable to fully meet the vehicle’s requirements for stability and comfort. To improve these problems, these are much modern suspension system models that have been used in the vehicle to replace the passive suspension system. The modern suspension systems are used as the air suspension system, semiactive suspension system, and active suspension system. These systems which are controlled automatically by the controller were established based on the control methods. There are a lot of control methods which are used to control the operation of the active suspension system. These methods have their advantages and disadvantages. Almost, conventional control methods such as PID, LQR, or SMC are commonly used. However, they do not provide optimal efficiency in improving a vehicle’s oscillation. Therefore, it is necessary to establish a novel solution for the active suspension system control to improve the vehicle’s oscillation. In this paper, the method of using the double-integrated controller is proposed to solve the above problem. The double-integrated controller consists of two hydraulic actuators which are controlled completely separately. This is a completely novel and original method that can provide positive effects. This research focuses on establishing, simulating, and evaluating the novel control method (the double-integrated control) for the active suspension system. The results of the research have shown that when the vehicle is equipped with the active suspension system which is controlled by the double-integrated controller, the maximum values of displacement and acceleration of the sprung mass are significantly reduced. They reach only 6.25% and 9.10% (case 1) and 6.00% and 6.12% (case 2) compared to the conventional passive suspension system. Besides, its average values which are calculated by RMS are only about 3.91% and 4.67% (case 1) and 4.48% and 4.77% (case 2) compared to the above case. Therefore, the comfort and stability of the vehicle have been improved. This paper provides new concepts and knowledge about the double-integrated control method which will become the trend to be used in the next time for the systems of the vehicle. In the future, experimental procedures also need to be conducted to be able to more accurately evaluate the results of this research.

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“…This study focuses on the control, simulation, and evaluation of the active suspension system compared to the conventional passive suspension system. The active suspension system is equipped with an actuator at each wheel (Marcu et al, 2017). This unit is a hydraulic piston that is controlled by a controller based on the signals collected from the sensors.…”

Section: Introductionmentioning

confidence: 99%

Study on the sliding mode control method for the active suspension system

Nguyen

2021

Int. J. Appl. Sci. Eng.

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When the vehicle moves, the bump on the road surface is the main factor affecting the vehicle's stability. It produces non-cyclic oscillations and causes a feeling of discomfort and fatigue for passengers. The suspension system of the vehicle is used to regulate and reduce these negative effects. In order to improve vehicle stability and comfort, the active suspension is used to replace the conventional passive suspension system. There are many methods to control the suspension system, each with its advantages and disadvantages. This article focuses on the introduction and establishment of the sliding mode controller for the active suspension system. The results of the study show that when the vehicle is equipped with an active suspension system that is controlled by a sliding mode controller, the values of displacement and acceleration of the sprung mass are significantly reduced. Therefore, the vehicle's stability and comfort are also greatly improved. Besides, the sliding mode controller is very stable to the change of the impact factors. However, this method is more difficult and complex than the use of conventional linear methods.

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Model for the study of active suspensions

Cited by 6 publications

References 3 publications

Optimization of automobile active suspension system using minimal order

Optimization of automobile active suspension system using minimal order

Improving the Comfort of the Vehicle Based on Using the Active Suspension System Controlled by the Double‐Integrated Controller

Study on the sliding mode control method for the active suspension system

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