scholarly journals MIMO auto-regressive modeling-based generalized predictive control for grid-connected hybrid systems

2022 ◽  
Vol 97 ◽  
pp. 107636
Author(s):  
Ricardo A.P. Franco ◽  
Álisson A. Cardoso ◽  
Gilberto Lopes Filho ◽  
Flávio H.T. Vieira
2009 ◽  
Vol 419-420 ◽  
pp. 837-840
Author(s):  
Jian An Xu ◽  
Gui Fu Liu ◽  
Wen De Zhao ◽  
Ming Jun Zhang

This paper investigates the application of indirect adaptive generalized predictive control to an autonomous underwater vehicle motion. A difference controlled auto-regressive integrated moving average model is used as the multi-step predictive model. Recursive least square method based on forgetting factors is used to identify the parameters of the difference controlled auto-regressive integrated moving average model. Simulation result shows that indirect adaptive generalized predictive control algorithm can be used to control the autonomous underwater vehicle motion.


Energies ◽  
2021 ◽  
Vol 14 (1) ◽  
pp. 207
Author(s):  
Jianwen Cao ◽  
Bizhong Xia ◽  
Jie Zhou

The inconsistency in large-scale battery pack significantly degrades the performance of electric vehicles. In order to diminish the inconsistency, the study designs an active equalization method comprising of equalizer and equalization strategy for lithium-ion batteries. A bidirectional flyback transformer equalizer (BFTE) is designed and analyzed. The BFTE is controlled by a pulse width modulation (PWM) controller to output designated balancing currents. Under the purpose of shortening equalization time and reducing energy consumption during the equalization process, this paper proposes an equalization strategy based on variable step size generalized predictive control (VSSGPC). The VSSGPC is improved on the generalized predictive control (GPC) by introducing the Step Size Factor. The VSSGPC surmounts the local limitation of GPC by expanding the control and output horizons to the global equalization process without increasing computation owing to the Step Size Factor. The experiment results in static operating condition indicate that the equalization time and energy consumption are reduced by 8.3% and 16.5%, respectively. Further validation in CC-CV and EUDC operating conditions verifies the performance of the equalizer and rationality of the VSSGPC strategy.


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