The road disturbance attenuation for quarter car active suspension system via a new static two-degree-of-freedom design

Altun, Yusuf

doi:10.11121/ijocta.01.2017.00458

Cited by 3 publications

(4 citation statements)

References 17 publications

(25 reference statements)

Supporting

Mentioning

Contrasting

Order By: Relevance

“…Tire force variations are directly related to tire deflections, reducing tire deflection results in improved traction, braking. The vehicle's static weight can be measured by the suspension deflection and depends on the type of suspension used [24,25]. In addition, while the controllers suppress vehicle vibrations, the limit stroke values in the suspension systems must not be exceeded.…”

Section: Discussionmentioning

confidence: 99%

Nonlinear adaptive semiactive control of a half-vehicle model via hardware in the loop simulation

Paksoy¹

2020

Turk J Elec Eng & Comp Sci

View full text Add to dashboard Cite

In this study, vehicle body vibrations are semiactively controlled using a nonlinear adaptive controller designed to improve passenger comfort by guaranteeing closed loop system stability under variable road disturbances with parametric uncertainty. Semiactive vibration control is implemented to the system through the magnetorheological damper. The MR damper test system is established in laboratory conditions, and the required values that are measured from the test system are used in computer simulations via the hardware in the loop simulation (HILS) method. By this way, it is possible to avoid the financial and other difficulties of the experimental study by establishing the test system completely, and also the hesitations that may arise in terms of producing realistic results of pure simulation studies of nonlinear dynamics. A 4-degree-of-freedom half-vehicle model is developed to examine the vehicle body bounce and pitch movements, and simulations are carried out under bump and random road irregularities, and the results are presented in comparison with the performance of the conventional skyhook controller. The performances of both controllers are interpreted from the aspect of acceleration and displacement responses of the vibrations and related criteria. As a result, the vibration reduction performances of both controllers are investigated experimentally using the HILS test system and the obtained results are evaluated with some comparative figures, performance criteria, and root mean square averages of vibrations.

show abstract

Section: Discussionmentioning

confidence: 99%

Nonlinear adaptive semiactive control of a half-vehicle model via hardware in the loop simulation

Paksoy¹

2020

Turk J Elec Eng & Comp Sci

View full text Add to dashboard Cite

show abstract

“…The initial value of system simulation is set as x(t) = ½0; 0; 0; 0. According to the LIM (18), K can be obtained as 100 3 ½1:53101:9742. On the other hand, the related passive suspension simulation model can be obtained by removing the control input and input delay in Figure 8.…”

Section: Simulation With Disturbancesmentioning

confidence: 99%

“…17 A static disturbance compensator was proposed by employing linear matrix inequality (LMI), and the feedback controller and disturbance compensator were designed simultaneously for the disturbances in the linear time-invariant systems. 18 A control method on optimal sliding mode for nonlinear active suspension system was put forward to obtain the better robustness and optimal suspension performance. 19 A fuzzy control problem for active suspension system with uncertainty was investigated using dynamic sliding mode method, and the nonlinear active suspension system was described by adopting the Takagi–Sugeno fuzzy approach.…”

Section: Introductionmentioning

confidence: 99%

Static output feedback H∞ control for active suspension system with input delay and parameter uncertainty

Wang

Jin-hua

et al. 2018

Advances in Mechanical Engineering

View full text Add to dashboard Cite

This article focuses on static output feedback [Formula: see text] control for active suspension system with input delay and parameter uncertainty. The parameter uncertainty of active suspension system model, input delay of actuator, input disturbance of road, and measurement output disturbance are simultaneously introduced in active suspension system. A kind of static output feedback [Formula: see text] controller is designed, which can consider the above factors, simultaneously. First of all, the mathematical model of quarter-vehicle active suspension system and the system state equation are established. Second, the static output feedback [Formula: see text] controller is designed by employing the Lyapunov–Krasovskii functional for system state equations without or with disturbance. The design problem of static output feedback [Formula: see text] controller for closed-loop system is transformed into the solving problem of linear matrix inequality. Finally, according to the designed controller and the specific vehicle parameters, the simulation model of quarter-vehicle active suspension system is established. And the simulations of three cases, for example, without disturbance, only with input disturbance, and with input disturbance and output disturbance, are exploited to demonstrate the feasibility and effectiveness of the proposed schemes.

show abstract

“…Many researchers have recently considered the problem of robust controller design on linear parameter varying or linear time invariant systems in the regular statespace form such as in [1][2][3][4][5][6][7][8][9][10][11][12][13][14], where the systems are common linear parameter varying (LPV) systems. Unlike the regular state-space forms, descriptor systems enable an expression which includes algebraic conditions on physical factors.…”

Section: Introductionmentioning

confidence: 99%

Gain scheduling LQI controller design for LPV descriptor systems and motion control of two-link flexible joint robot manipulator

Altun

2018

Int. J. Optim. Control, Theor. Appl. (IJOCTA)

Self Cite

View full text Add to dashboard Cite

This paper proposes a gain scheduling linear quadratic integral (LQI) servo controller design, which is derived from linear quadratic regulator (LQR) optimal control, for non-singular linear parameter varying (LPV) descriptor systems. It is assumed that state space matrices are non-singular since many mechanical systems do not have any non-singular matrices such as the natural state space forms of robotic manipulator, pendulum and suspension systems. A controller design is difficult for the systems due to rational LPV case. Therefore, the proposed gain scheduling controller is designed without the difficulty. Accordingly, the motion control design is implemented for two-link flexible joint robotic manipulator. Finally, the control system simulation is performed to prove the applicability and performance.

show abstract

The road disturbance attenuation for quarter car active suspension system via a new static two-degree-of-freedom design

Cited by 3 publications

References 17 publications

Nonlinear adaptive semiactive control of a half-vehicle model via hardware in the loop simulation

Nonlinear adaptive semiactive control of a half-vehicle model via hardware in the loop simulation

Static output feedback H∞ control for active suspension system with input delay and parameter uncertainty

Gain scheduling LQI controller design for LPV descriptor systems and motion control of two-link flexible joint robot manipulator

Contact Info

Product

Resources

About