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Adaptive integral feedback controller for pitch and yaw channels of an AUV with actuator saturations

机译:自适应积分反馈控制器,用于带有执行器饱和的AUV的俯仰和偏航通道

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摘要

Input saturations and uncertain dynamics are among the practical challenges in control of autonomous vehicles. Adaptive control is known as a proper method to deal with the uncertain dynamics of these systems. Therefore, incorporating the ability to confront with input saturation in adaptive controllers can be valuable. In this paper, an adaptive autopilot is presented for the pitch and yaw channels of an autonomous underwater vehicle (AUV) in the presence of input saturations. This will be performed by combination of a model reference adaptive control (MRAC) with integral state feedback with a modern anti-windup (AW) compensator. MRAC with integral state feedback is commonly used in autonomous vehicles. However, some proper modifications need to be taken into account in order to cope with the saturation problem. To this end, a Riccati-based anti-windup (AW) compensator is employed. The presented technique is applied to the non-linear six degrees of freedom (DM model of an AUV and the obtained results are compared with that of its baseline method. Several simulation scenarios are executed in the pitch and yaw channels to evaluate the controller performance. Moreover, effectiveness of proposed adaptive controller is comprehensively investigated by implementing Monte Carlo simulations. The obtained results verify the performance of proposed method. (C) 2016 ISA. Published by Elsevier Ltd. All rights reserved.
机译:输入饱和和不确定的动力学特性是自动驾驶汽车控制中的实际挑战。自适应控制是解决这些系统不确定动态问题的一种适当方法。因此,将适应输入饱和的能力纳入自适应控制器中可能很有价值。在本文中,针对存在输入饱和的自动水下航行器(AUV)的俯仰和偏航通道,提出了一种自适应自动驾驶仪。这将通过将模型参考自适应控制(MRAC)与积分状态反馈与现代抗饱和(AW)补偿器相结合来执行。具有积分状态反馈的MRAC通常用于自动驾驶汽车。但是,为了解决饱和问题,需要考虑一些适当的修改。为此,采用了基于Riccati的抗饱和(AW)补偿器。将所提出的技术应用于非线性六自由度(水下机器人的DM模型),并将获得的结果与其基线方法进行比较,并在俯仰和偏航通道上执行了几种仿真方案,以评估控制器的性能。此外,通过实施蒙特卡洛仿真对提出的自适应控制器的有效性进行了全面研究,所得结果验证了所提出方法的性能(C)2016 ISA,由Elsevier Ltd.保留所有权利。

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