The Experts below are selected from a list of 231 Experts worldwide ranked by ideXlab platform
W. Haddad - One of the best experts on this subject based on the ideXlab platform.
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Nonlinear control of vehicle yaw rate via roll moment distribution
Proceedings of 1994 American Control Conference - ACC '94, 1994Co-Authors: D. Williams, W. HaddadAbstract:A vehicle model is developed including nonlinear effects of weight transfer on cornering force generated by tires. By distributing a roll resisting moment between the front and Rear Axles, vehicle handling can be influenced. Results are reported for a controller derived using feedback linearization as well as an intuitive approach. Based on the simulation results, the intuitive controller was implemented on an active vehicle suspension, with results reported.
D. Williams - One of the best experts on this subject based on the ideXlab platform.
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Nonlinear control of vehicle yaw rate via roll moment distribution
Proceedings of 1994 American Control Conference - ACC '94, 1994Co-Authors: D. Williams, W. HaddadAbstract:A vehicle model is developed including nonlinear effects of weight transfer on cornering force generated by tires. By distributing a roll resisting moment between the front and Rear Axles, vehicle handling can be influenced. Results are reported for a controller derived using feedback linearization as well as an intuitive approach. Based on the simulation results, the intuitive controller was implemented on an active vehicle suspension, with results reported.
Peter Gáspár - One of the best experts on this subject based on the ideXlab platform.
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Enhancing roll stability of heavy vehicle by LQR active anti-roll bar control using electronic servo-valve hydraulic actuators
Vehicle System Dynamics, 2017Co-Authors: Olivier Sename, Luc Dugard, Peter GáspárAbstract:Rollover of heavy vehicle is an important road safety problem worldwide. Although rollovers are relatively rare events, they are usually deadly accidents when they occur. The roll stability loss is the main cause of rollover accidents in which heavy vehicles are involved. In order to improve the roll stability, most of modern heavy vehicles are equipped with passive anti-roll bars to reduce roll motion during cornering or riding on uneven roads. However these may be not sufficient to overcome critical situations. This paper introduces the active anti-roll bars made of four electronic servo-valve hydraulic actuators, which are modelled and integrated in a yaw-roll model of a single unit heavy vehicle. The control signal is the current entering the electronic servo-valve and the output is the force generated by the hydraulic actuator. The active control design is achieved solving a linear optimal control problem based on the Linear Quadratic Regulator (LQR) approach. A comparison of several LQR controllers is provided to allow for tackling the considered multi-objective problems. Simulation results in frequency and time domains show that the use of two active anti-roll bars (front and Rear Axles) drastically improves the roll stability of the single unit heavy vehicle compared with the passive anti-roll bar.
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H ∞ active anti-roll bar control to prevent rollover of heavy vehicles: a robustness analysis
2016Co-Authors: Olivier Sename, Luc Dugard, Peter GáspárAbstract:Rollover of heavy vehicle is an important road safety problem worldwide. Although rollovers are relatively rare events, they are usually deadly accidents when they occur. In order to improve roll stability, most of modern heavy vehicles are equipped with passive anti-roll bars to reduce roll motion during cornering or riding on uneven roads. This paper proposes an H ∞ approach to design active anti-roll bars using the yaw-roll model of a single unit heavy vehicle. The control signals are the torques generated by the actuators at the front and Rear Axles. Simulation results in both frequency and time domains are provided to compare two different cases: passive anti-roll bars and H ∞ active anti-roll bars. It is shown that the use of two H ∞ active (front and Rear) anti-roll bars drastically improves the roll stability of the single unit heavy vehicle to prevent rollover.
Olivier Sename - One of the best experts on this subject based on the ideXlab platform.
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Enhancing roll stability of heavy vehicle by LQR active anti-roll bar control using electronic servo-valve hydraulic actuators
Vehicle System Dynamics, 2017Co-Authors: Olivier Sename, Luc Dugard, Peter GáspárAbstract:Rollover of heavy vehicle is an important road safety problem worldwide. Although rollovers are relatively rare events, they are usually deadly accidents when they occur. The roll stability loss is the main cause of rollover accidents in which heavy vehicles are involved. In order to improve the roll stability, most of modern heavy vehicles are equipped with passive anti-roll bars to reduce roll motion during cornering or riding on uneven roads. However these may be not sufficient to overcome critical situations. This paper introduces the active anti-roll bars made of four electronic servo-valve hydraulic actuators, which are modelled and integrated in a yaw-roll model of a single unit heavy vehicle. The control signal is the current entering the electronic servo-valve and the output is the force generated by the hydraulic actuator. The active control design is achieved solving a linear optimal control problem based on the Linear Quadratic Regulator (LQR) approach. A comparison of several LQR controllers is provided to allow for tackling the considered multi-objective problems. Simulation results in frequency and time domains show that the use of two active anti-roll bars (front and Rear Axles) drastically improves the roll stability of the single unit heavy vehicle compared with the passive anti-roll bar.
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H ∞ active anti-roll bar control to prevent rollover of heavy vehicles: a robustness analysis
2016Co-Authors: Olivier Sename, Luc Dugard, Peter GáspárAbstract:Rollover of heavy vehicle is an important road safety problem worldwide. Although rollovers are relatively rare events, they are usually deadly accidents when they occur. In order to improve roll stability, most of modern heavy vehicles are equipped with passive anti-roll bars to reduce roll motion during cornering or riding on uneven roads. This paper proposes an H ∞ approach to design active anti-roll bars using the yaw-roll model of a single unit heavy vehicle. The control signals are the torques generated by the actuators at the front and Rear Axles. Simulation results in both frequency and time domains are provided to compare two different cases: passive anti-roll bars and H ∞ active anti-roll bars. It is shown that the use of two H ∞ active (front and Rear) anti-roll bars drastically improves the roll stability of the single unit heavy vehicle to prevent rollover.
Gáspár Péter - One of the best experts on this subject based on the ideXlab platform.
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Enhancing roll stability of heavy vehicle by LQR active anti-roll bar control using electronic servo-valve hydraulic actuators
'Informa UK Limited', 2017Co-Authors: Vu Van-tan, Sename Olivier, Dugard Luc, Gáspár PéterAbstract:International audienceRollover of heavy vehicle is an important road safety problem worldwide. Although rollovers are relatively rare events, they are usually deadly accidents when they occur. The roll stability loss is the main cause of rollover accidents in which heavy vehicles are involved. In order to improve the roll stability, most of modern heavy vehicles are equipped with passive anti-roll bars to reduce roll motion during cornering or riding on uneven roads. However these may be not sufficient to overcome critical situations. This paper introduces the active anti-roll bars made of four electronic servo-valve hydraulic actuators, which are modelled and integrated in a yaw-roll model of a single unit heavy vehicle. The control signal is the current entering the electronic servo-valve and the output is the force generated by the hydraulic actuator. The active control design is achieved solving a linear optimal control problem based on the Linear Quadratic Regulator (LQR) approach. A comparison of several LQR controllers is provided to allow for tackling the considered multi-objective problems. Simulation results in frequency and time domains show that the use of two active anti-roll bars (front and Rear Axles) drastically improves the roll stability of the single unit heavy vehicle compared with the passive anti-roll bar
