模型预测控制
弹道
控制理论(社会学)
阻塞(统计)
跟踪(教育)
二次规划
计算机科学
控制器(灌溉)
块(置换群论)
最优控制
过程(计算)
地平线
控制变量
轨迹优化
控制(管理)
数学
数学优化
人工智能
操作系统
物理
机器学习
天文
生物
计算机网络
教育学
心理学
农学
几何学
作者
Huixuan Fu,Wenjing Yao,Chao-Chung Peng,Yuchao Wang
标识
DOI:10.1109/icma57826.2023.10215974
摘要
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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