系统工程与电子技术 ›› 2025, Vol. 47 ›› Issue (3): 951-960.doi: 10.12305/j.issn.1001-506X.2025.03.27

• 制导、导航与控制 • 上一篇    

具有排除约束的鲁棒模型预测轨迹跟踪控制

孙海迪, 戴荔, 王沛展, 夏元清   

  1. 北京理工大学自动化学院, 北京 100081
  • 收稿日期:2024-05-22 出版日期:2025-03-28 发布日期:2025-04-18
  • 通讯作者: 戴荔
  • 作者简介:孙海迪 (1993—), 女, 博士研究生, 主要研究方向为模型预测控制理论及应用、高效避障避碰控制理论及应用
    戴荔 (1988—), 女, 教授, 博士, 主要研究方向为多智能体控制理论与应用、模型预测控制理论及应用
    王沛展 (1999—), 男, 博士研究生, 主要研究方向为模型预测控制理论及应用、四旋翼无人机运动控制
    夏元清 (1971—), 男, 教授, 博士, 主要研究方向为无人移动平台协同控制、空天地海一体化网络环境下多运动体系统跨越协同控制与智能决策、云控制与决策
  • 基金资助:
    国家自然科学基金(62122014);国家自然科学基金(62173036)

Robust model predictive control for trajectory tracking with exclusion constraint

Haidi SUN, Li DAI, Peizhan WANG, Yuanqing XIA   

  1. School of Automation, Beijing Institute of Technology, Beijing 100081, China
  • Received:2024-05-22 Online:2025-03-28 Published:2025-04-18
  • Contact: Li DAI

摘要:

针对具有不确定性和排除约束的轨迹跟踪控制问题, 提出计算高效的鲁棒模型预测不可达轨迹跟踪控制算法。首先, 引入一条满足所有约束的可行周期参考轨迹, 并计算不确定性系统状态集和所有排除约束集之间的分离超平面, 生成排除约束安全集, 将固有非凸的排除约束凸化为闭多胞体约束。然后, 引入辅助变量, 将具有排除约束的轨迹规划问题和跟踪控制问题集成到同一个优化问题中, 并利用二次规划进行求解, 实际系统状态轨迹收敛于最优可达参考轨迹。此外, 该算法可以保证迭代可行性和鲁棒稳定性。最后, 通过仿真验证了算法的有效性和高效性。

关键词: 不确定性系统, 排除约束, 不可达轨迹, 鲁棒模型预测控制

Abstract:

For trajectory tracking control problems with uncertainties and exclusion constraints, a computationally efficient robust model predictive unreachable trajectory tracking control algorithm is proposed. Firstly, a feasible periodic reference trajectory satisfying all constraints is introduced and the separating hyperplanes between the uncertain system state set and all exclusion constraint sets are calculated. The exclusion constraint safe sets are generated and the inherently nonconvex exclusion constraints are converted into closed polyhedral constraints. Then, by introducing auxiliary variables, the trajectory planning problem with exclusion constraints and the tracking control problem are integrated into an optimization problem, which is solved using quadratic programming and the actual system state trajectory converges to the optimal reachable reference trajectory. In addition, the algorithm can ensure the recursive feasibility and the robust stability. Finally, the effectiveness and efficiency of the proposed algorithm are verified by the simulation.

Key words: uncertain system, exclusion constraint, unreachable trajectory, robust model predictive control

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