Model Predictive Control for Steering System of Water-Jet Propulsion

doi:10.1007/s12204-019-2141-z

Journal of Shanghai Jiao Tong University (Science) ›› 2020, Vol. 25 ›› Issue (3): 299-303.doi: 10.1007/s12204-019-2141-z

Model Predictive Control for Steering System of Water-Jet Propulsion

GONG Zhenghua (龚征华), SONG Chenwei (宋晨维), LI Gangqiang (李刚强), CHEN Jianping (陈建平), XU Zijing (徐梓京), YUAN Jingqi (袁景淇)

(1. MOE Key Laboratory of Marine Intelligent Equipment and System, Shanghai Jiao Tong University, Shanghai 200240, China; 2. Laboratory of Science and Technology on Waterjet Propulsion, Shanghai 200011, China; 3. Marine Design & Research Institute of China, Shanghai 200011, China; 4. Department of Automation, Shanghai Jiao Tong University, Shanghai 200240, China)

出版日期:2020-06-15 发布日期:2020-05-29
通讯作者: YUAN Jingqi (袁景淇) E-mail:jqyuan@sjtu.edu.cn

Model Predictive Control for Steering System of Water-Jet Propulsion

GONG Zhenghua (龚征华), SONG Chenwei (宋晨维), LI Gangqiang (李刚强), CHEN Jianping (陈建平), XU Zijing (徐梓京), YUAN Jingqi (袁景淇)

(1. MOE Key Laboratory of Marine Intelligent Equipment and System, Shanghai Jiao Tong University, Shanghai 200240, China; 2. Laboratory of Science and Technology on Waterjet Propulsion, Shanghai 200011, China; 3. Marine Design & Research Institute of China, Shanghai 200011, China; 4. Department of Automation, Shanghai Jiao Tong University, Shanghai 200240, China)

Online:2020-06-15 Published:2020-05-29
Contact: YUAN Jingqi (袁景淇) E-mail:jqyuan@sjtu.edu.cn

摘要/Abstract

摘要： Water-jet propulsion is a widely applied ship propulsion technology. Its steering control system has an important impact on manoeuvre performance. In this paper, transfer function model is firstly established on the basis of mechanism analysis of water-jet steering system. Then, by considering the variability of model parameters and input constraints in practical operation, a model predictive controller is designed for steering system control. Subsequently, model based disturbance observer is employed in an attempt to reject environmental disturbances. The performance of the proposed model predictive control (MPC) scheme for a particular steering system is compared with that of conventional proportional integral derivative (PID) control strategy. Simulation results demonstrate that the proposed model predictive controller outperforms conventional PID controller, particularly in robustness, response delay and tracking accuracy.

关键词: water-jet propulsion, steering system, model predictive control (MPC), disturbance observer

Abstract: Water-jet propulsion is a widely applied ship propulsion technology. Its steering control system has an important impact on manoeuvre performance. In this paper, transfer function model is firstly established on the basis of mechanism analysis of water-jet steering system. Then, by considering the variability of model parameters and input constraints in practical operation, a model predictive controller is designed for steering system control. Subsequently, model based disturbance observer is employed in an attempt to reject environmental disturbances. The performance of the proposed model predictive control (MPC) scheme for a particular steering system is compared with that of conventional proportional integral derivative (PID) control strategy. Simulation results demonstrate that the proposed model predictive controller outperforms conventional PID controller, particularly in robustness, response delay and tracking accuracy.

Key words: water-jet propulsion, steering system, model predictive control (MPC), disturbance observer

中图分类号:

TP 391

GONG Zhenghua, SONG Chenwei, LI Gangqiang, CHEN Jianping, XU Zijing, YUAN Jingqi. Model Predictive Control for Steering System of Water-Jet Propulsion[J]. Journal of Shanghai Jiao Tong University (Science), 2020, 25(3): 299-303.

GONG Zhenghua, SONG Chenwei, LI Gangqiang, CHEN Jianping, XU Zijing, YUAN Jingqi . Model Predictive Control for Steering System of Water-Jet Propulsion[J]. Journal of Shanghai Jiao Tong University (Science), 2020, 25(3): 299-303.

参考文献 11

[1]	DONG Z L, ZHANG Q, HAN S F. Control of an electrohydraulic steering system using a PID controller with a nonlinear compensation algorithm [J]. Proceedings of SPIE, 2002, 4715: 87-95.
[2]	UNAR M A. Ship steering control using feedforward neural networks [D]. Glasgow, UK: University of Glasgow,1999.
[3]	LAYNE J R, PASSION K M. Fuzzy model reference learning control for cargo ship steering [J]. IEEE Control Systems, 1993, 13(6): 457-462.
[4]	HUO X X, HU J Q, LI Z Y. BP neural network based PID control for ship steering [C]//World Congress on Information and Communication Technologies. Dalian,China: IEEE, 2013: 1042-1046.
[5]	LEE J H, MORARIM, GARCIA C E. State-space interpretation of model predictive control [J]. Automatica,1994, 30(4): 707-717.
[6]	MAYNED Q, RAWLINGS J B, RAOC V, et al. Constrained model predictive control: Stability and optimality[J]. Automatica, 2000, 36(6): 789-814.
[7]	MORARI M, BARI′CM. Recent developments in the control of constrained hybrid system [J]. Computer and Chemical Engineering, 2006, 30(10/11/12): 1619-1631.
[8]	EDGE K A, DARLING J. Cylinder pressure transients in oil hydraulic pumps with sliding plate valves [J].Proceedings of the Institution of Mechanical Engineers,1986, 200(1): 45-54.
[9]	YANG H Y, SHI H, GONG G F, et al. Electrohydraulic proportional control of thrust system for shield tunneling machine [J]. Automation in Construction,2009, 18(7): 950-956.
[10]	CLARK D W, MOHTADI C, TUFFS P S. Generalized predictive control. Part I. The Basic Algorithm[J]. Automatica, 1987, 23(2): 137-148.
[11]	KEMPF C J, KOBAYASHI S. Disturbance observer and feed-forward design for a high-speed direct-drive positioning table [J]. IEEE Transactions on Control Systems Technology, 1999, 7(5): 513-526.

Model Predictive Control for Steering System of Water-Jet Propulsion

Model Predictive Control for Steering System of Water-Jet Propulsion

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