控制工程 ›› 2019, Vol. 26 ›› Issue (10): 1917-1924.

• 建模与仿真系统 • 上一篇    下一篇

基于模型预测控制的水下机器人轨迹跟踪

  

  • 出版日期:2019-10-20 发布日期:2023-11-03

The Tracking Control of Unmanned Underwater Vehicles Based on Model Predictive Control 

  • Online:2019-10-20 Published:2023-11-03

摘要: 针对水下机器人二维水下环境中的轨迹跟踪问题,通过分析与建立水下机器人二维运动学模型,提出了一种新型的轨迹跟踪控制方法,即模型预测控制。该算法是在误差模型的线性化描述的基础上引入模型预测控制方法,将最小化目标函数的优化问题转换为二次规划问题的求解,使得水下机器人在满足控制约束的条件下有效地完成轨迹跟踪并克服速度跳变问题。通过与反步控制方法的仿真实验对比,证明所提及的模型预测控制算法能够更有效的实现二维水下机器人的轨迹跟踪控制。

关键词: 水下机器人, 轨迹跟踪, 模型预测控制, 速度跳变

Abstract: In terms of the tracking problem of unmanned underwater vehicles (UUV) in two-dimension, a new approach of the tracking control algorithm is investigated by analyzing and building the two-dimension kinematic model of UUV in this paper, that is model predictive control. The model predictive control is employed based on the linear error model, the optimization problem of minimizing the objective function is transformed to a quadratic programming problem, which makes it effective to realize the tracking control and avoid the speed jump problem under the condition of satisfying the control constraints. The experimental results show the efficiency in terms of the trajectory tracking control problem for UUV, when compared with the method of backstepping.

Key words: Unmanned underwater vehicles, trajectory tracking, model predictive control, speed jump