Dynamic Control Allocation for Tracking Time-Varying Control Demand

2008 ◽  
Vol 31 (4) ◽  
pp. 1150-1157 ◽  
Author(s):  
W. C. Arun Kishore ◽  
S. Sen ◽  
G. Ray ◽  
T. K. Ghoshal
Keyword(s):  
Dynamic Control ◽  
Control Allocation ◽  
Time Varying ◽  
Tracking Time

scholarly journals A CONFIDENCE-GUIDED TECHNIQUE FOR TRACKING TIME-VARYING FEATURES

2020 ◽  
pp. 1-1
Author(s):  
Soumya Dutta ◽  
Terece Louise Turton ◽  
James Ahrens
Keyword(s):  
Time Varying ◽  
Tracking Time

Model-Predictive Dynamic Control Allocation Scheme for Reentry Vehicles

2007 ◽  
Vol 30 (1) ◽  
pp. 100-113 ◽  
Author(s):  
Yu Luo ◽  
Andrea Serrani ◽  
Stephen Yurkovich ◽  
Michael W. Oppenheimer ◽  
David B. Doman
Keyword(s):  
Dynamic Control ◽  
Control Allocation ◽  
Allocation Scheme ◽  
Reentry Vehicles

scholarly journals An ESPRIT Algorithm for Tracking Time-Varying Signals

1992 ◽  
Author(s):  
K. J. Liu ◽  
Dianne P. O'Leary ◽  
G. W. Stewart ◽  
Yuan-Jye Wu
Keyword(s):  
Time Varying ◽  
Tracking Time ◽  
Esprit Algorithm

Adaptive equivalent consumption minimisation strategy and dynamic control allocation-based optimal power management strategy for four-wheel drive hybrid electric vehicles

2018 ◽  
Vol 233 (12) ◽  
pp. 3125-3146 ◽  
Author(s):  
Hui Liu ◽  
Xunming Li ◽  
Weida Wang ◽  
Lijin Han ◽  
Huibin Xin ◽  
...  
Keyword(s):  
Power Management ◽  
Management Strategy ◽  
Dynamic Control ◽  
Control Allocation ◽  
Energy Management Strategy ◽  
Torque Distribution ◽  
Power Management Strategy ◽  
Optimal Power ◽  
Wheel Drive ◽  
Four Wheel Drive

An adaptive equivalent consumption minimisation strategy and dynamic control allocation-based optimal power management strategy for a four-wheel drive plug-in hybrid electric vehicle is proposed in this paper. The equivalent factors of adaptive equivalent consumption minimisation strategy are optimised offline based on ISIGHT software over several typical driving cycles, which is integrated with AVL CRUISE and MATLAB/Simulink. To update the equivalent factor adaptively according to the predictive velocity, a neural network-based optimal equivalent factor prediction model is built, which can be used online. The torque distribution strategy considering axle load based on energy management strategy optimisation results and the vehicle dynamics control distribution is proposed: this includes two-wheel drive torque distribution, four-wheel drive torque distribution and brake torque distribution. The proposed energy management strategy is verified in New European Driving Cycle and Worldwide harmonised Light Vehicle Test Cycle driving patterns, and the simulation results show that the fuel economy of adaptive equivalent consumption minimisation strategy and dynamic control allocation-based optimal power management strategy is improved by 8.84% and 7.52% in New European Driving Cycle and Worldwide harmonised Light Vehicle Test Cycle, respectively, compared with the benchmark algorithm-based strategy.

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