Hudha et al., 2005 - Google Patents
Effects of control techniques and damper constraint on the performance of a semi-active magnetorheological damperHudha et al., 2005
View PDF- Document ID
- 13956733104243109154
- Author
- Hudha K
- Jamaluddin H
- Samin P
- Rahman R
- Publication year
- Publication venue
- International journal of vehicle autonomous systems
External Links
Snippet
Semi-active dampers change their damping force in real time by simply changing the damping coefficient according to a control policy. In this study, a number of semi-active control algorithms namely modified skyhook, modified groundhook and modified hybrid …
- 238000000034 method 0 title description 18
Similar Documents
| Publication | Publication Date | Title |
|---|---|---|
| Hudha et al. | Effects of control techniques and damper constraint on the performance of a semi-active magnetorheological damper | |
| Priyandoko et al. | Vehicle active suspension system using skyhook adaptive neuro active force control | |
| Yu et al. | Human simulated intelligent control of vehicle suspension system with MR dampers | |
| Lam et al. | Semi-active control of automotive suspension systems with magneto-rheological dampers | |
| Du et al. | Semi-active H∞ control of vehicle suspension with magneto-rheological dampers | |
| Choi et al. | Magnetorheological fluid technology: applications in vehicle systems | |
| Alleyne et al. | Application of nonlinear control theory to electronically controlled suspensions | |
| Choi et al. | Vibration control of magnetorheological damper system subjected to parameter variations | |
| Dong et al. | Neural network compensation of semi-active control for magneto-rheological suspension with time delay uncertainty | |
| Turnip et al. | Sensitivity control of a MR-damper semi-active suspension | |
| Hudha et al. | Simulation and experimental evaluation on a skyhook policy-based fuzzy logic control for semi-active suspension system | |
| Yu et al. | Fuzzy neural network control for vehicle stability utilizing magnetorheological suspension system | |
| Krauze et al. | Vibration control in quarter-car model with magnetorheological dampers using FxLMS algorithm with preview | |
| Choi et al. | Vibration control of an MR vehicle suspension system considering both hysteretic behavior and parameter variation | |
| Hudha et al. | Modelling, characterisation and force tracking control of a magnetorheological damper under harmonic excitation | |
| Jereczek et al. | Modeling and simulation of the horizontal seat suspension system under random vibration | |
| Turnip et al. | Control of a semi-active MR-damper suspension system: a new polynomial model | |
| Hudha et al. | Non-parametric linearised data driven modelling and force tracking control of a magnetorheological damper | |
| Imaduddin et al. | Simulation and experimental investigation on adaptive multi-order proportional-integral control for pneumatically actuated active suspension system using knowledge-based fuzzy | |
| Rosli et al. | Simulation of active force control using MR damper in semi active seat suspension system | |
| Nagarkar et al. | Performance analysis of quarter car active suspension system: LQR and H∞ control strategies | |
| Dong et al. | A comparison of suitable control methods for full vehicle with four MR dampers part II controller synthesis and road test validation | |
| Al-Zughaibi et al. | Simulation study of a linear quadratic control for active seat suspension systems | |
| Hamzah et al. | Design and Control of a Full-Scale Quarter Car Test Rig for Semi-Active Suspension System | |
| Lorenz et al. | Applying semi-active friction damping to elastic supports for automotive applications |