基于观测器的状态约束Hamilton系统的输出调节
PDF下载 (156)周 粤,徐 松.基于观测器的状态约束Hamilton系统的输出调节[J].宁波大学学报(理工版),2026,39(2):113-120.DOI:10.20098/j.cnki.1001-5132.2025.0604
ZHOU Yue,XU Song.Observer-based output regulation of state-constrained Hamiltonian systems[J].Journal of Ningbo University(Natural Science & Engineering Edition),2026,39(2):113-120.DOI:10.20098/j.cnki.1001-5132.2025.0604
| Title: | Observer-based output regulation of state-constrained Hamiltonian systems |
| 作者: | 周 粤, 徐 松 |
| Author(s): | ZHOU Yue, XU Song |
| 关键词: | 状态约束; Hamilton系统; 输出调节; 障碍存储函数 |
| Keywords: | state constraint; Hamiltonian system; output regulation; barrier storage function |
| 分类号: | O211.9 |
| DOI: | 10.20098/j.cnki.1001-5132.2025.0604 |
| 文献标识码: | A |
| 摘要: | 针对具有状态约束的Hamilton系统的鲁棒输出调节问题,提出了一种基于观测器的输出调节方法。利用内模原理和障碍存储函数(BSF)方法,给出了系统BSF存在的充分条件,所得到的调节器在保证闭环系统满足状态约束条件的同时,解决系统输出调节问题。该方法能保持Hamilton系统耗散结构,将系统鲁棒输出调节问题转化为镇定问题,从而避免求解调节器方程和Hamilton-Jacobi-Issacs不等式。数值仿真结果表明该方法具有有效性。 |
| Abstract: | An observer-based output regulation method is proposed for the robust output regulation problem of state-constrained Hamiltonian system. Using the internal model principle and the barrier storage function (BSF) method, a sufficient condition for the existence of the BSF of the system is given, and the proposed regulator solves the output regulation problem of the closed-loop system while guaranteeing that the closed-loop system satisfies the state constraints. The method maintains the dissipative structure of the Hamiltonian system and transforms the robust output regulation problem into a stabilization problem, thus avoiding the need to solve the regulator equations and the Hamilton-Jacobi-Issacs inequality. Numerical simulation results demonstrate the effectiveness of this output regulation method. |
| 参考文献 /References: | [1] 沈鹏, 李小华, 刘辉. 无关初始状态的机械臂全状态约束轨迹跟踪容错控制[J/OL]. [2025-04-13]. https://link. cnki.net/urlid/44.1240.TP.20250312.0929.010. [2] YU W C, GUO H W, XIAO J, et al. Physical neural networks with self-learning capabilities[J]. Science China physics, mechanics & astronomy, 2024, 67(8):287501. [3] HE W, GE S S. Cooperative control of a nonuniform gantry crane with constrained tension[J]. Automatica, 2016, 66:146-154. [4] STEIN G. Respect the unstable[J]. IEEE control systems magazine, 2003, 23(4):12-25. [5] RICHTER H. A multi-regulator sliding mode control strategy for output-constrained systems[J]. Automatica, 2011, 47(10):2251-2259. [6] GHAEMI R, SUN J, KOLMANOVSKY I V. Robust control of constrained linear systems with bounded disturbances[J]. IEEE transactions on automatic control, 2012, 57(10):2683-2688. [7] SU Q Y, ZHU H C, LI J. H∞ control for a class of continuous-time switched systems with state constraints via a mode-dependent switching method[J]. Transactions of the institute of measurement and control, 2018, 40(11): 3358-3367. [8] LIU Y Y, YU J P, YU H S, et al. Barrier Lyapunov functions-based adaptive neural control for permanent magnet synchronous motors with full-state constraints[J]. IEEE access, 2017, 5:10382-10389. [9] LIU Y J, LU S M, TONG S C, et al. Adaptive control- based Barrier Lyapunov functions for a class of stochastic nonlinear systems with full state constraints[J]. Automatica, 2018, 87:83-93. [10] YU J P, ZHAO L, YU H S, et al. Barrier Lyapunov functions-based command filtered output feedback control for full-state constrained nonlinear systems[J]. Automatica, 2019, 105:71-79. [11] ZHAO K, SONG Y D, ZHANG Z R. Tracking control of MIMO nonlinear systems under full state constraints: a single-parameter adaptation approach free from feasibility conditions[J]. Automatica, 2019, 107:52-60. [12] ROMDLONY M Z, JAYAWARDHANA B. Stabilization with guaranteed safety using control Lyapunov-Barrier function[J]. Automatica, 2016, 66:39-47. [13] JHANG J Y, WU J L, YUNG C F. Stabilization of nonlinear control-affine systems with multiple state constraints[J]. IEEE access, 2020, 8:179735-179744. [14] WU J L, CHOU Y S. State-constrained nonlinear L2-gain control[J]. IEEE transactions on automatic control, 2020, 65(2):771-777. [15] JIN C L, LI L L, WANG R, et al. Asynchronous output regulation with passivity control for a class of switched stochastic delay systems[J]. IET control theory & applications, 2017, 11(18):3269-3277. [16] LIU W, HUANG J. Event-triggered global robust output regulation for a class of nonlinear systems[J]. IEEE transactions on automatic control, 2017, 62(11):5923-5930. [17] XIE K D, JIANG Y, YU X, et al. Data-driven cooperative optimal output regulation for linear discrete-time multi- agent systems by online distributed adaptive internal model approach[J]. Science China information sciences, 2023, 66(7):170202. [18] HUMALOJA J P, PAUNONEN L. Robust regulation of infinite-dimensional port-Hamiltonian systems[J]. IEEE transactions on automatic control, 2018, 63(5):1480-1486. [19] XU S, WANG W, CHEN S Y. Energy-based output regulation for stochastic port-Hamiltonian systems[J]. International journal of robust and nonlinear control, 2021, 31(5):1720-1734. [20] 王飞飞, 徐松. 一类基于观测器的随机端口Hamilton系统的输出调节[J]. 宁波大学学报(理工版), 2024, 37(3):36-43. [21] KHAIL H K. Nonlinear control system[M]. London: Spring-Verlag, 1995. [22] 王玉振. 广义Hamilton控制系统理论: 实现、控制与应用[M]. 北京: 科学出版社, 2007. [23] LIU Y H, CAO G Z, TANG S X, et al. Energy-based stabilisation and robust stabilisation of stochastic non- linear systems[J]. IET control theory & applications, 2018, 12(2):318-325. |
| 备注/Memo: | 收稿日期:2025-06-05 宁波大学学报(理工版)网址:http://journallg.nbu.edu.cn/ 基金项目:国家自然科学基金数学天元基金(12226510) 第一作者:周 粤,硕士研究生,主要研究方向为非线性控制。E-mail: 2311400067@nbu.edu.cn *通信作者:徐 松,教授,主要研究方向为非线性控制、随机控制。E-mail: xusong@nbu.edu.cn 宁波大学学报(理工版)网址:http://journallg.nbu.edu.cn/ |