针对AUV深度控制,提出深度偏差转换为指令纵倾的算法,基于拉盖尔网络逼近的模型预测控制理论,设计了舵角舵速硬约束和纵倾软约束条件下的纵倾运动模型预测控制器。仿真结果表明,该控制方法具有良好的动态控制性能,并可快速处理多种约束条件的二次规划问题。
An algorithm that converts depth deviation into command pitch is proposed aiming at AUV depth control. Based on the model predictive control theory of Laguerre network approximation, the model predictive control of pitch motion under the conditions of hard constraints of rudder angle, rudder speed and soft constraints of pitch is designed. The simulation results indicate that the control method has good dynamic control performance, and can quickly handle the quadratic programming problems with a variety of constraints.
2021,43(3): 120-124 收稿日期:2020-06-27
DOI:10.3404/j.issn.1672-7649.2021.03.023
分类号:TP27
作者简介:杨德成(1983-),男,工程师,主要从事舰船操纵控制及舰船动力研究
参考文献:
[1] 伍尙慧, 路静. 国外无人潜航器的发展现状与张望, 电科防务研究, 2016.8. 25.
[2] SUR, JOO-NO. Design and investigation of a dive plane sliding mode compensator for an autonomous underwater vehicle[D]. Naval Postgraduate School. USA 1989.
[3] MICHAEL F. HAJOSY. Six degree of freedom vehicle controller design for the operation of an unmanned underwater vehicle in a shallow water environment[D]. Naval Postgraduate School. USA 1994.
[4] HYUN-Sik KIM, YONG-Ku SHIN. Design of adaptive fuzzy sliding mode controller based on fuzzy basis function expansion for UFV depth control[J]. International journal of control, Automation and Systems, 2005, 3(2): 217–224
[5] RAJA ROUT. Design and experimental realization of adaptive control schemes for an autonomous underwater vehicle[D]. National Institute of Technology Rourkela, India. 2017.
[6] 高剑著. 无人水下航行器自适应非线性控制技术[M]. 西安: 西北工业大学出版社, 2016: 143−149.
[7] 熊华胜, 边信黔, 施小成. 自治水下机器人深度的鲁棒H∞控制仿真[J]. 计算机仿真, 2007, 24(3).
[8] CB/Z 259−96《潜艇空间机动控制规律》[R]. p5.
[9] WANG Liuping. Model predictive control system design and implementation using Matlab®[M]. Verlag London Limited, 2009.
[10] WANG Liuping, William R, CLUETT. From plant data to process control——Ideas for process identification and PID design[J]. Taylor & Francis, 2000: 10−11.
[11] KATSUHIKO OGATA. Discrete-time controlsystems[M]. 北京: 机械工业出版社, 2004: 421−449.
[12] PRESTERO T. Verification of a six-degree of freedom simulation model for the REMUS autonomous underwater vehicle[D]. Woods Hole Ocenographic Institu-tion, Departments of Ocean and Mechanical Engineering, MIT, MA, 2001