Optimize motion energy of AUV based on LQR control strategy

Shi-Lei Wang, Hongzhang Jin, Li Meng, Guicang Li
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引用次数: 6

Abstract

When AUV moves near the sea surface, it always affected by surface wave disturbances and torques, and its resistance increases more heavily than calm water resistance. Because of carried energy of AUV is always limited, it is urgent to minimize the resistance caused by the AUV motion so as to diminish the energy consumption. On the traditional motion control strategy of AUV, most investigation focus on minimizing the pitch angle and heave motion, and ignoring the influence of the added resistance. In this paper a control method is proposed based on establishing longitudinal resistance model, combines the pitching angle, heaving displacement, driving energy with added resistance of AUV as its integrated indicators. In order to obtain the stabilized position and decrease the energy consumption, a LQR controller is designed with optimizing parameters by using the genetic algorithm. As a result, not only the pitch angle of the AUV and heave motion are decreased, but also the resistance caused by the pitch motion. Simulation analysis verifies the correctness of the dynamic resistance model and proposed control method.
基于LQR控制策略的水下航行器运动能量优化
水下航行器在靠近海面时,总是受到海面波扰动和力矩的影响,其阻力比静水阻力增大更大。由于水下航行器携带的能量总是有限的,因此减小水下航行器运动阻力以减少能量消耗是当务之急。在传统的水下航行器运动控制策略中,大多数研究都集中在最小化俯仰角和升沉运动上,而忽略了附加阻力的影响。本文在建立纵向阻力模型的基础上,提出了一种将AUV的俯仰角、升沉位移、驱动能和附加阻力作为综合指标的控制方法。为了获得稳定位置,降低能量消耗,利用遗传算法设计了参数优化的LQR控制器。这样不仅减小了水下航行器的俯仰角和升沉运动,而且减小了俯仰运动引起的阻力。仿真分析验证了动态电阻模型和所提控制方法的正确性。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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