Vehicle dynamics

About: Vehicle dynamics is a research topic. Over the lifetime, 12909 publications have been published within this topic receiving 204091 citations.

Occupant control system integrated with vehicle dynamics controls

Abstract: A control system for an automotive vehicle that includes a plurality of dynamics sensors (14) for generating a plurality of dynamic condition signals and also a plurality of environment sensors (16) for generating a plurality of environment signals is provided herein. Vehicle systems such as a driver warning system, a powertrain control module, a restraint control module, and a chassis control module are also provided. A controller (12) is coupled to the plurality of sensors and classifies the operation of the vehicle as controllable stable, controllable unstable, or uncontrollable in response to the plurality of dynamic condition signals and the plurality of environment signals. The controller (12) selects a level of control for the vehicle systems in response to classifying. The level of control is different in response to the respective classification.

Vehicle Velocity Observer Design Using 6-D IMU and Multiple-Observer Approach

Abstract: This paper mainly focuses on the accurate estimation of the vehicle velocities of all axes, using the data received from a low-cost 6-D inertial measurement unit. The data include the vehicle linear acceleration and angular rates of all axes. In addition, the observer uses the wheel speed sensors and steering wheel angle information, which are already available on most recent production cars. Utilizing the aforementioned information, based on the combination of a bicycle model and a kinematic model, a multiple-observer system that computes the weighted sum estimation that is dependent on cornering stiffness adaptation is adopted to observe the lateral vehicle velocity, as well as longitudinal and vertical velocities. The stability of each component of the proposed observer is investigated, and a set of assessments to confirm the performance of the entire system is arranged through experiments using a real production sport utility vehicle.

A full-car model for active suspension - some practical aspects

Abstract: In this paper a full-car dynamic model with passengers has been designed. A four conventional quarter-car suspension models are connected to a get full-car model. In the next, braking, accelerating and steering influences are reflected, i.e. longitudinal and lateral acceleration are considered. Then impacts of steering to lateral motion are discussed. Finally passengers' models were added. The resulting car model has been implemented in Matlab software. Usage of a vehicle model for simulation in many automotive control applications has great significance in money savings for test-beds, test circuits and another devices, which in simulations are not required.

Modeling and simulation of autonomous underwater vehicles: design and implementation

Abstract: Autonomous underwater vehicles (AUVs) have many scientific, military, and commercial applications because of their potential capabilities and significant cost-performance improvements over traditional means for performing search and survey. The development of a reliable sampling platform requires a thorough system design and many costly at-sea trials during which systems specifications can be validated. Modeling and simulation provides a cost-effective measure to carry out preliminary component, system (hardware and software), and mission testing and verification, thereby reducing the number of potential failures in at-sea trials. An accurate simulation can help engineers to find hidden errors in the AUV embedded software and gain insights into the AUV operations and dynamics. This paper reviews our research work on real-time physics-based modeling and simulation for our AUVs. The modeling component includes vehicle dynamics, environment and sensor characteristics. The simulation component consists of stand-alone versus hardware-in-the-loop (HIL) implementation, for both single as well as multiple vehicles. In particular, implementation issues with regard to multitasking system resources will be addressed. The main contribution of this paper is to present the rationale for our simulation architecture and the lessons learned.