Approximate Algorithm for Hybrid Model Predictive Control with Time-Varying Reference

2009 ◽  
Vol E92-A (8) ◽  
pp. 2046-2052 ◽  
Author(s):  
Koichi KOBAYASHI ◽  
Kunihiko HIRAISHI ◽  
Nguyen Van TANG
Keyword(s):  
Model Predictive Control ◽  
Hybrid Model ◽  
Predictive Control ◽  
Approximate Algorithm ◽  
Time Varying

scholarly journals Hybrid Model Predictive Control of a Variable Displacement Engine Mode Management

2020 ◽  
Vol 53 (2) ◽  
pp. 14047-14054
Author(s):  
Pawel Majecki ◽  
Michael J. Grimble ◽  
Ibrahim Haskara ◽  
Chen-Fang Chang
Keyword(s):  
Model Predictive Control ◽  
Hybrid Model ◽  
Predictive Control ◽  
Variable Displacement

scholarly journals Shipboard Power Management for Failure Mode Using the Hybrid MPC Approach

Energies ◽  
2021 ◽  
Vol 14 (10) ◽  
pp. 2915
Author(s):  
Xiuyan Peng ◽  
Bo Wang ◽  
Lanyong Zhang ◽  
Peng Su
Keyword(s):  
Model Predictive Control ◽  
Power Systems ◽  
Power Management ◽  
Failure Mode ◽  
Hybrid Model ◽  
Predictive Control ◽  
Minimum Principle ◽  
Management Control ◽  
Shipboard Power ◽  
Two Stages

Shipboard integrated power systems, the key technology of ship electrification, call for effective failure mode power management control strategy to achieve the safe and reliable operation in dynamic reconfiguration. Considering switch reconfiguration with system dynamics and power balance restoration after reconfiguration, in this paper, the optimization objective function of optimal management for ship failure mode is established as a hybrid model predictive control problem from the perspective of hybrid system. To meet the needs for fast computation, a hierarchical hybrid model predictive control algorithm is proposed, which divides the original optimization problem into two stages, and reduces the computation complexity by relaxing constraints and the minimum principle. By applying to a real-time simulator in two scenarios, the results verify the effectivity of the proposed method.

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