Dynamic Safety Constraints by Scenario-Based Economic Model Predictive Control of Marine Electric Power Plants

被引:10
作者
Bo, Torstein I. [1 ]
Johansen, Tor Arne [1 ]
机构
[1] Norwegian Univ Sci & Technol, Ctr Autonomous Marine Operat & Syst, Dept Engn Cybernet, N-7491 Trondheim, Norway
来源
IEEE TRANSACTIONS ON TRANSPORTATION ELECTRIFICATION | 2017年 / 3卷 / 01期
关键词
Diesel-driven generators; fault tolerance; fuel optimal control; marine vehicle power systems; power generation control; predictive control; FRAMEWORK;
D O I
10.1109/TTE.2016.2628786
中图分类号
TM [电工技术]; TN [电子技术、通信技术];
学科分类号
0808 ; 0809 ;
摘要
This paper studies scenario-based model predictive control (MPC) for dynamic safety constraints. For marine electric power plant with direct current distribution and variable speed generator set, the speed of the generator sets should be as low as possible to increase the efficiency of the diesel engines. However, a safety margin toward underspeed is necessary. In this paper, a dynamical safety constraint is achieved by including a fault scenario in the MPC formulation. This is done using a nominal trajectory of the predicted states for the fault-free operation, and adding fault trajectories starting from the samples of the nominal trajectory. The fault trajectories simulate the fault scenario and dynamically constrain the nominal trajectory. The controller is shown to be effective using closed-loop simulations of a marine electric power plant.
引用
收藏
页码:13 / 21
页数:9
相关论文
共 34 条
[31]   Min-max feedback model predictive control for constrained linear systems [J].
Scokaert, POM ;
Mayne, DQ .
IEEE TRANSACTIONS ON AUTOMATIC CONTROL, 1998, 43 (08) :1136-1142
[32]  
Skjong E., IEEE T TRAN IN PRESS
[33]  
Torrisi FD, 2001, IEEE DECIS CONTR P, P2899, DOI 10.1109/CDC.2001.980716
[34]  
Veksler A, 2013, 2013 EUROPEAN CONTROL CONFERENCE (ECC), P2579