6533b863fe1ef96bd12c781f
RESEARCH PRODUCT
Semiactive Control Methodologies for Suspension Control With Magnetorheological Dampers
Ningsu LuoMauricio ZapateiroHamid Reza KarimiFrancesc Pozosubject
EngineeringChassisbackstepping magnetorheological (MR) damper quantitative feedback control semiactive control suspension controlNonlinear controlsuspension controlDamperQuantitative feedback theoryControl theoryMagnetorheological dampersmagnetorheological (MR) damperAutomòbils -- AmortidorsElectrical and Electronic EngineeringSuspension (vehicle)Amortidors magneto-reològicsquantitative feedback controlsemiactive controlbusiness.industryVDP::Technology: 500::Mechanical engineering: 570Linear systemBackstepping; magnetorheological (MR) damper; quantitative feedback control; semiactive control; suspension control; Control and Systems Engineering; Computer Science Applications1707 Computer Vision and Pattern Recognition; Electrical and Electronic EngineeringComputer Science Applications1707 Computer Vision and Pattern RecognitionControl engineeringComputer Science ApplicationsBacksteppingControl and Systems EngineeringBacksteppingMagnetorheological fluidbusinessdescription
Authors version of an article published in the journal: IEEE/ASME Transactions on Mechatronics. Also available from the publisher at: http://dx.doi.org/10.1109/TMECH.2011.2107331 Suspension systems are one of the most critical components of transportation vehicles. They are designed to provide comfort to the passengers to protect the chassis and the freight. Suspension systems are normally provided with dampers that mitigate these harmful and uncomfortable vibrations. In this paper, we explore two control methodologies (in time and frequency domain) used to design semiactive controllers for suspension systems that make use of magnetorheological dampers. These dampers are known because of their nonlinear dynamics, which requires the use of nonlinear control methodologies for an appropriate performance. The first methodology is based on the backstepping technique, which is applied with adaptation terms and H ∞ constraints. The other methodology to be studied is the quantitative feedback theory (QFT). Despite QFT is intended for linear systems, it can still be applied to nonlinear systems. This can be achieved by representing the nonlinear dynamics as a linear system with uncertainties that approximately represents the true behavior of the plant to be controlled. The semiactive controllers are simulated in MATLAB/Simulink for performance evaluation.
| year | journal | country | edition | language |
|---|---|---|---|---|
| 2012-04-01 | IEEE/ASME Transactions on Mechatronics |