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Decentralized spacing control with communication delay: a state space modeling based design approach

机译:具有通信延迟的分散间隔控制:一种基于状态空间建模的设计方法

摘要

Spacing control is important topics of research as increasing number of vehicle are automatically controlled in land, space and under water. Spacing control has importance as it helps in safety of passengers and also saves time and fuel. It has application in many fields like aircraft flight formation vehicle platooning, spacecraft, etc. A platoon is group of vehicles travelling with a leader which is followed by the others. Information of the leader is very important in case of platoon to be safe. Vehicles are equipped with wireless communication which is used in sending and receiving information from the other vehicle and specially leader information. These communication systems are not always prefect, sometime or frequently it gets affected by environmental factors and is not able to send and receive information. The need of robust control law to minimize the distance between vehicles and that remains robust in uncertain conditions is important. In this research Switched Static Output Feedback Stabilization with LMI approach has been used. This method has advantages over earlier method that has limitation over switching sequence. Using SOF method gives us a simple control methodology that doesn’t need state information and LMI method is reliable in finding stability condition. It results in a control method that will stabilize the system in any arbitrary switching. System will attain string stability as it will ensure that error between vehicles doesn’t increases as we go down the platoon [1].
机译:间距控制是研究的重要课题,因为越来越多的车辆在陆地,太空和水下自动控制。间距控制非常重要,因为它有助于乘客的安全,并节省时间和燃料。它已在飞机编队飞行器排,航天器等许多领域中得到应用。排是一组由领导者随行的飞行器,随后是其他领导者。领导者的信息对于排的安全非常重要。车辆配备有无线通信,用于发送和接收其他车辆的信息,尤其是领导者信息。这些通信系统并非总是完美无缺,有时或经常受到环境因素的影响,无法发送和接收信息。重要的是,需要鲁棒的控制法则以最小化车辆之间的距离,并且在不确定条件下保持鲁棒性。在本研究中,已使用具有LMI方法的开关静态输出反馈镇定。该方法优于较早的方法,该方法对切换顺序有限制。使用SOF方法为我们提供了一种简单的控制方法,该方法不需要状态信息,而LMI方法可以可靠地找到稳定条件。这导致了一种控制方法,该方法将使系统稳定在任何任意切换中。系统将达到弦的稳定性,因为它将确保当我们沿着排[1]行驶时,车辆之间的误差不会增加。

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    Kumar Aditya;

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  • 年度 2014
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