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| Content Provider | IEEE Xplore Digital Library |
|---|---|
| Author | Yan Chen Junmin Wang |
| Copyright Year | 2012 |
| Description | Author affiliation: Dept. of Mech. & Aerosp. Eng., Ohio State Univ., Columbus, OH, USA (Yan Chen; Junmin Wang) |
| Abstract | A globally optimal energy-efficient control allocation (EECA) is developed for planar motion control of electric ground vehicles (EGVs) with four in-wheel motors. Different from the distribution processes in previous EECA designs [19][21], which obtained optimal torque distributions locally due to the nonlinear/nonconvex characteristics of EECA formulation, this EECA approach based a branch-and-bound (B&B) method that can make the distributed control actuation achieve the global energy-optimal operating points. Based on a sequence of equivalent problem transformations and a linear relaxation programming, the global optimal programming can be solved by the B&B method through rewriting the EECA formulation into a polynomial fractional optimization problem. Simulation results of different EGV maneuvers indicate that less energy are consumed when the EECA scheme based on the B&B method is applied, in comparison with the energy consumptions of the identical maneuvers with the active-set algorithm. |
| Sponsorship | IEEE Control Syst. Soc. |
| Starting Page | 4999 |
| Ending Page | 5004 |
| File Size | 277979 |
| Page Count | 6 |
| File Format | |
| ISBN | 9781457710957 |
| ISSN | 07431619 |
| e-ISBN | 9781457710964 |
| e-ISBN | 9781467321020 |
| DOI | 10.1109/ACC.2012.6314861 |
| Language | English |
| Publisher | Institute of Electrical and Electronics Engineers, Inc. (IEEE) |
| Publisher Date | 2012-06-27 |
| Publisher Place | Canada |
| Access Restriction | Subscribed |
| Rights Holder | American Automatic Control Council(AACC) |
| Subject Keyword | Vehicles Optimization Power demand Actuators Torque Motion control Programming |
| Content Type | Text |
| Resource Type | Article |
| Subject | Electrical and Electronic Engineering |
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