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

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.

[1]  Tor Arne Johansen,et al.  Dynamic Safety Constraints by Scenario-Based Economic Model Predictive Control of Marine Electric Power Plants , 2017, IEEE Transactions on Transportation Electrification.

[2]  T. Alamo,et al.  Robust MPC of constrained discrete-time nonlinear systems based on approximated reachable sets , 2006, Autom..

[3]  Alf Kåre Ådnanes,et al.  Maritime Electrical Installations And Diesel Electric Propulsion , 2003 .

[4]  Giuseppe Carlo Calafiore,et al.  Robust Model Predictive Control via Scenario Optimization , 2012, IEEE Transactions on Automatic Control.

[5]  Claire J. Tomlin,et al.  Applications of hybrid reachability analysis to robotic aerial vehicles , 2011, Int. J. Robotics Res..

[6]  Damir Radan,et al.  Integrated Control of Marine Electrical Power Systems , 2008 .

[7]  Alberto Bemporad,et al.  Scenario-based model predictive control of stochastic constrained linear systems , 2009, Proceedings of the 48h IEEE Conference on Decision and Control (CDC) held jointly with 2009 28th Chinese Control Conference.

[8]  Alberto Bemporad,et al.  Discrete-time hybrid modeling and verification , 2001, Proceedings of the 40th IEEE Conference on Decision and Control (Cat. No.01CH37228).

[9]  Panagiotis D. Christofides,et al.  Proactive fault‐tolerant model predictive control , 2013 .

[10]  T. Kovacshazy,et al.  Transient reduction in reconfigurable control systems utilizing structure dependence , 2001, IMTC 2001. Proceedings of the 18th IEEE Instrumentation and Measurement Technology Conference. Rediscovering Measurement in the Age of Informatics (Cat. No.01CH 37188).

[11]  Tor Arne Johansen,et al.  Scenario-based fault-tolerant model predictive control for diesel-electric marine power plant , 2013, 2013 MTS/IEEE OCEANS - Bergen.

[12]  Lorenzo Fagiano,et al.  The scenario approach for Stochastic Model Predictive Control with bounds on closed-loop constraint violations , 2013, Autom..

[13]  Murat Arcak,et al.  Guard synthesis for safety of hybrid systems using sum of squares programming , 2012, 2012 IEEE 51st IEEE Conference on Decision and Control (CDC).

[14]  Graham C. Goodwin,et al.  Scenario-based, closed-loop model predictive control with application to emergency vehicle scheduling , 2013, Int. J. Control.

[15]  Luke Briant.  Demand for greener, more efficient propulsion systems : a look at the Siemens Blue Drive Plus C system , 2012 .

[16]  D. Limón,et al.  Input-to-State Stability: A Unifying Framework for Robust Model Predictive Control , 2009 .

[17]  Antonio Espuña Camarasa,et al.  Proactive approach to address the uncertainty in short-term scheduling , 2008, Comput. Chem. Eng..

[18]  Marta Molinas,et al.  Past, Present, and Future Challenges of the Marine Vessel’s Electrical Power System , 2016, IEEE Transactions on Transportation Electrification.

[19]  A. Bemporad,et al.  Dynamic option hedging via stochastic model predictive control based on scenario simulation , 2014 .

[20]  D. Mayne,et al.  Min-max feedback model predictive control for constrained linear systems , 1998, IEEE Trans. Autom. Control..

[21]  Asgeir J. Sørensen,et al.  Marine Vessel and Power Plant System Simulator , 2015, IEEE Access.

[22]  D. Borojevic,et al.  Modeling and control of a synchronous generator with an active DC load , 2000 .

[23]  S. T. Buckland,et al.  An Introduction to the Bootstrap. , 1994 .

[24]  George J. Pappas,et al.  A Framework for Worst-Case and Stochastic Safety Verification Using Barrier Certificates , 2007, IEEE Transactions on Automatic Control.

[25]  Thor I. Fossen,et al.  Modelling, Simulation and Multivariable Model-Based Predictive Control of Marine Power Generation System , 1998 .