DocumentCode :
3425272
Title :
An adaptive energy-efficient control allocation on planar motion control of electric ground vehicles
Author :
Chen, Yan ; Wang, Junmin
Author_Institution :
Dept. of Mech. & Aerosp. Eng., Ohio State Univ., Columbus, OH, USA
fYear :
2011
fDate :
12-15 Dec. 2011
Firstpage :
8062
Lastpage :
8067
Abstract :
An adaptive energy-efficient control allocation (A-EECA) is developed for planar motion control of electric ground vehicles (EGVs) with four in-wheel motors. Different from distribution processes in previous EECA designs [19][28], which needed to instantaneously solve nonlinear (even non-convex) optimization problems at each sampling time, this adaptive EECA approach can make distributed control actuation gradually converge to energy-optimal operating points. The consequent advantages are reflected in both low computational cost and free selections of initial conditions. Based on experimental data and some reasonable assumptions on the efficiencies of in-wheel motors, the adaptive EECA dictates different torque distributions to all the EGV wheels based on their different efficiencies. Simulation results of different maneuvers indicate that much less energy and computational cost are consumed when the adaptive EECA scheme is applied for controlling the planar motion of an EGV.
Keywords :
adaptive control; concave programming; distributed control; electric vehicles; energy conservation; motion control; A-EECA; EGV; adaptive energy-efficient control allocation; distributed control actuation; electric ground vehicles; four in-wheel motors; nonlinear optimization problems; planar motion control; Actuators; Computational efficiency; Mathematical model; Power demand; Torque; Tracking; Vehicles;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Decision and Control and European Control Conference (CDC-ECC), 2011 50th IEEE Conference on
Conference_Location :
Orlando, FL
ISSN :
0743-1546
Print_ISBN :
978-1-61284-800-6
Electronic_ISBN :
0743-1546
Type :
conf
DOI :
10.1109/CDC.2011.6160407
Filename :
6160407
Link To Document :
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