نتایج جستجو برای: vehicle dynamics control systems
تعداد نتایج: 2763204 فیلتر نتایج به سال:
Traffic models developed for control include first order LWR model and second order models. The first order model is essentially density dynamics which states the conservation of the number of vehicles in a section of highway. Most second order models are essentially a speed dynamics coupled with the first order density dynamics. There are several second order models but most are for explaining...
The use of driving simulation in vehicle design and development is growing. For maximal benefit, vehicle models used in the driving simulator must be rapidly reconfigurable and easy to develop. To evaluate potential modeling concepts, vehicle dynamics and vehicle subsystems are developed using modular model components. These are integrated with simulator cueing subsystems, using the same modeli...
A comparative study for the automatic control of an underwater vehicle has been conducted. The vessel had only three thrusters for the control of its position, something that made the problem very difficult. Furthermore the system is highly non-linear. A control system has been simulated for the regulation of the marine thrusters so that they stabilize the vehicle at a desired position, irrespe...
cooperative object manipulation control of rigid-flexible multi-body systems in space is studied in this paper. during such tasks, flexible members like solar panels may get vibrated that in turn may lead to some oscillatory disturbing forces on other subsystems, and consequently produces error in the motion of the end-effectors of the cooperative manipulating arms. therefore, to design and dev...
Nowadays, the current vehicles are incorporating control systems in order to improve their stability and handling. These control systems need to know the vehicle dynamics through the variables (lateral acceleration, roll rate, roll angle, sideslip angle, etc.) that are obtained or estimated from sensors. For this goal, it is necessary to mount on vehicles not only low-cost sensors, but also low...
direct yaw moment control systems (dyc) can maintain the vehicle in the driver’s desired path by distributing the asymmetric longitudinal forces and the generation of the control yaw moment (cym). in order to achieve the superior control performance, intelligent usage of lateral forces is also required. the lateral wheel forces have an indirect effect on the cym and based upon their directions,...
optimal adaptive leader-follower consensus of linear multi-agent systems: known and unknown dynamics
in this paper, the optimal adaptive leader-follower consensus of linear continuous time multi-agent systems is considered. the error dynamics of each player depends on its neighbors’ information. detailed analysis of online optimal leader-follower consensus under known and unknown dynamics is presented. the introduced reinforcement learning-based algorithms learn online the approximate solution...
Integrated control of active rear differential and front wheel steering in rear wheel drive vehicles
Many vehicle control systems were designed and implemented in the last years to enhance performances and stability acting on front and/or rear steering actuators [1,2,3] and/or individual wheel braking [8]; the development of electroactuated differentials allows to transfer torque between wheels from the faster to the slower one in semiactive differentials [11,12,13,14] and in both directions i...
This paper focuses on developing a linear parameter varying (LPV) controller for an airbreathing hypersonic vehicle using a velocity-based approach. The design of flight control systems for airbreathing hypersonic vehicles is a highly challenging task due to the unique characteristics of the vehicle dynamics. Motivated by recent results on a velocity-based linearization approach and LPV control...
Vehicle control systems need to prognosticate future vehicle states in order to improve energy efficiency. This paper compares four approaches that are used to identify the parameters of a longitudinal vehicle dynamics model used for the prediction of vehicle tractive forces. All of the identification approaches build on a standard Kalman filter. Measurement signals are processed using the poly...
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