Abstract:To investigate the driving stability of tank trucks, an equivalent trammel pendulum was utilized to approximately demonstrate the dynamic characteristics of liquid sloshing in a partially filled tank. The oscillation movement of the trammel pendulum in the tank was described under the tank-fixed coordinate system and its motion equation under the noninertia coordinate system was derived using a Lagrangian function. The motion of the pendulum that expresses the fluid cargo dynamic behavior and that of the solid… Show more
“…In what follows, we introduce models to represent the roll dynamics of a fuel truck with a partially filled tank. These models were originally proposed in [10], [27], where sloshing dynamics of liquid fuel in the tank are accounted for and modeled by an equivalent trammel pendulum. We summarize them here for the sake of completeness.…”
Section: Application To Fuel Truck Rollover Avoidancementioning
confidence: 99%
“…This angle θ is related to the tilt angle of liquid free surface and is assumed to be measured (e.g., using a combination of wave gauges, and level and optical sensors [32]) for our LRG implementation. The following equation of motion for θ in the tank-fixed inertia frame can be derived [27],…”
Section: A Equivalent Trammel Pendulum Model Of Liquid Sloshingmentioning
confidence: 99%
“…Now taking into account the motion of the tank when the truck is making a turn (illustrated in Fig. 3), the following equations of motion of the trammel pendulum system in the tank-fixed non-inertia frame can be derived [27],…”
Section: A Equivalent Trammel Pendulum Model Of Liquid Sloshingmentioning
confidence: 99%
“…4) is the longitudinal distance between the CG of the unsprung mass and that of the tank truck. The lateral acceleration of the pendulum mass can be expressed as [27],…”
Section: B Tank Truck Dynamic Modelmentioning
confidence: 99%
“…3) We demonstrate an application of LRG to fuel truck rollover avoidance under sloshing effects. An equivalent mechanical model for lateral fuel sloshing based on [27] is first described, and a vehicle dynamics model is integrated with the lateral fuel sloshing model for the simulation study. Simulation results are reported which illustrate learning and vehicle response during step commands, sine-and-dwell tests and when driving conditions change.…”
This paper proposes a learning reference governor (LRG) approach to enforce state and control constraints in systems for which an accurate model is unavailable; and this approach enables the reference governor to gradually improve command tracking performance through learning while enforcing the constraints during learning and after learning is completed. The learning can be performed either on a black-box type model of the system or directly on the hardware. After introducing the LRG algorithm and outlining its theoretical properties, this paper investigates LRG application to fuel truck rollover avoidance. Through simulations based on a fuel truck model that accounts for liquid fuel sloshing effects, we show that the proposed LRG can effectively protect fuel trucks from rollover accidents under various operating conditions.
“…In what follows, we introduce models to represent the roll dynamics of a fuel truck with a partially filled tank. These models were originally proposed in [10], [27], where sloshing dynamics of liquid fuel in the tank are accounted for and modeled by an equivalent trammel pendulum. We summarize them here for the sake of completeness.…”
Section: Application To Fuel Truck Rollover Avoidancementioning
confidence: 99%
“…This angle θ is related to the tilt angle of liquid free surface and is assumed to be measured (e.g., using a combination of wave gauges, and level and optical sensors [32]) for our LRG implementation. The following equation of motion for θ in the tank-fixed inertia frame can be derived [27],…”
Section: A Equivalent Trammel Pendulum Model Of Liquid Sloshingmentioning
confidence: 99%
“…Now taking into account the motion of the tank when the truck is making a turn (illustrated in Fig. 3), the following equations of motion of the trammel pendulum system in the tank-fixed non-inertia frame can be derived [27],…”
Section: A Equivalent Trammel Pendulum Model Of Liquid Sloshingmentioning
confidence: 99%
“…4) is the longitudinal distance between the CG of the unsprung mass and that of the tank truck. The lateral acceleration of the pendulum mass can be expressed as [27],…”
Section: B Tank Truck Dynamic Modelmentioning
confidence: 99%
“…3) We demonstrate an application of LRG to fuel truck rollover avoidance under sloshing effects. An equivalent mechanical model for lateral fuel sloshing based on [27] is first described, and a vehicle dynamics model is integrated with the lateral fuel sloshing model for the simulation study. Simulation results are reported which illustrate learning and vehicle response during step commands, sine-and-dwell tests and when driving conditions change.…”
This paper proposes a learning reference governor (LRG) approach to enforce state and control constraints in systems for which an accurate model is unavailable; and this approach enables the reference governor to gradually improve command tracking performance through learning while enforcing the constraints during learning and after learning is completed. The learning can be performed either on a black-box type model of the system or directly on the hardware. After introducing the LRG algorithm and outlining its theoretical properties, this paper investigates LRG application to fuel truck rollover avoidance. Through simulations based on a fuel truck model that accounts for liquid fuel sloshing effects, we show that the proposed LRG can effectively protect fuel trucks from rollover accidents under various operating conditions.
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