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Endurance testing of the chassis, components and vehicle axles is a safety issue and therefore an essential part of the vehicle development process. In the automotive industry, durability experiments of vehicle axles are carried out in laboratories using multi-channel durability test rigs. The accurate load data replication of field measured data is important to obtain convincing durability results...
In this paper the purpose is to present a nonlinear model based predictive control of autonomous steering for the ground vehicles. The vehicle lateral dynamics mathematical model including the most important nonlinearities such as lateral tire forces, the optimal control problem and the steering control system are described. Simulation results show that this approach could provide good performances...
Hydraulic excavators play an important role for various construction tasks. But due to increasing costs of fossil fuels and an increasing environmental awareness, there is high demand for more efficient machinery. During the development of the necessary technologies, simulations based on an excavator model and measured driving cycles allow for an early assessment of the expected machine performance...
This paper investigates the optimal model predictive control for the path tracking of an autonomous vehicle. For the control algorithm of an autonomous vehicle following pre-calculated path, two indices must be considered: 1. The performance index including the path tracking error and the energy consumed in control process. 2. The computational cost. In this paper, an optimal model predictive controller...
Traffic control is an effective and also efficient approach to reduce traffic jams. To alleviate the traffic congestion in an urban traffic network, a traffic control strategy that can coordinate the whole traffic network from a global point of view, is required. In this paper, an advanced control strategy, i.e. Model Predictive Control (MPC), is applied to control and coordinate urban traffic networks...
Traditional ocean research and exploration usually require a lot of time, funds and, in general, resources. In the last years, mainly thanks to the GPS technology, unmanned small vehicles have been proposed for marine exploration and investigation. In this paper, a cooperation scheme (either for surface and underwater vehicles) is outlined for a multi-robot framework with a certain mission. The objective...
In this paper we investigate the possibility of applying the hybrid model predictive control (MPC) framework to solve a control problem regarding tracking of a moving vehicle. The study originates from the design of an adaptive cruise controller (ACC) of a Smart car, that aims to closely follow a reference trajectory transmitted by a leading vehicle. The physical behavior of the Smart and the constraints...
In this paper we investigate the possibility of applying the hybrid Model Predictive Control (MPC) framework to solve a control problem regarding tracking of a moving vehicle. The study originates from the design of an adaptive cruise controller (ACC) of a Smart car, that aims to closely follow a reference trajectory transmitted by a leading vehicle. The physical behavior of the Smart and the constraints...
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