For the dynamic adjustment strategy of intelligent rail guide vehicle, the dynamic planning model has been built with the longest working time in the paper. In solving this problem, the longest target of the rail guide vehicles' running time is converted to find the optimal moving path of the rail guide vehicles.
Oct 30, 2021
Oct 30, 2021 · In solving this problem, the longest target of the rail guide vehicles' running time is converted to find the optimal moving path of the rail ...
In solving this problem, the longest target of the rail guide vehicles' running time is converted to find the optimal moving path of the rail guide vehicles.
This paper proposes a new scheduling scheme, called the GBDT-foresight stepping model. The model is incorporated by the chaotic particle swarm optimization ...
Missing: Adjustment | Show results with:Adjustment
For the dynamic adjustment strategy of intelligent rail guide vehicle, the dynamic planning model has been built with the longest working time in the paper.
Abstract. This paper takes the dynamic scheduling of intelligent RGV as the research object and explores the problem of materiel machining of intelligent ...
Oct 22, 2024 · A new method using wheel and rail surfaces parameterisations is applied to identify multiple contact points. This method allows lead and lag flange contact.
This paper proposes a mechanical guidance control scheme that uses a cam-link mechanism as a steering control mechanism for an automated guided vehicle with a ...
This paper studied the use of particle swarm optimization to design the RGV dynamic scheduling model, aiming to improve the material processing production ...
Missing: Adjustment | Show results with:Adjustment
As a crucial part of the running gear, its dynamic characteristics directly affect the railway vehicle's stability and curve negotiation ability. This study ...