基于分块矩阵的无人水面车辆轨迹跟踪模型预测控制

Huixuan Fu, Wenjing Yao, Chao Peng, Yuchao Wang
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引用次数: 0

摘要

针对模型预测控制(MPC)设计的轨迹跟踪控制器计算时间长、实时性差的问题,提出了一种基于控制视界变步长的模型预测控制轨迹跟踪方法。首先,通过移动阻塞改变控制水平步长。然后,将其整合到二次规划的求解过程中,重构目标函数形式。从而减少求解过程中需要求解的变量数量,减少求解时间。最后,设计了带移动阻塞的MPC与不带移动阻塞的MPC在无人水面飞行器轨迹跟踪控制中的对比实验。结果表明,与无移动阻塞的MPC算法相比,平均计算时间缩短了15.79%。
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Model Predictive Control with Block Matrix for Unmanned Surface Vehicles Trajectory Tracking
In order to work out the matter of long calculation time and poor real-time performance of trajectory tracking controller designed by Model Predictive Control (MPC), a model predictive control trajectory tracking based on variable step size in control horizon is proposed by means of move blocking. Firstly, changing of control horizon step size through move blocking. Then, integrating it into the solution process of quadratic programming and reconstructing objective function form. So as to cut the amount of variables to be solved in the solution process and reduce the solution calculation time. Finally, the comparison experiments of MPC with move blocking for trajectory tracking control of Unmanned Surface Vehicle (USV) and MPC without move blocking for trajectory tracking control of USV are designed. The results show that compared with MPC without move blocking, the average calculation time is reduced by 15.79%.
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