DocumentCode
1785432
Title
Adaptive speed control of a light weighted all electric vehicle with unknown time delay
Author
Sharma, Vishal ; Purwar, Shubhi
Author_Institution
Dept. of Electr. Eng., Motilal Nehru Nat. Inst. of Technol., Allahabad, India
fYear
2014
fDate
28-30 May 2014
Firstpage
1
Lastpage
6
Abstract
In this paper, adaptive speed control of a light weighted all-electric vehicle (EV) is presented for strict feedback form with unknown time delay. The EV is driven by DC motor. The unknown time delay has been compensated through the appropriately chosen Lyapunov-Krasovskii functional. In present work, state feedback control is presented via backstepping, applied to a strict feedback form of the EV system. The controller singularity problem has been resolved by relaxing our control objective of convergence to a bounded region rather than the origin and assembling unknown parameters together. The proposed adaptive backstepping design has been proved that the output of the system to converge to an arbitrarily small neighborhood of the origin. The new European driving cycle (NEDC) test is performed to test the control performance. Through simulation results the effectiveness of the proposed control scheme are shown.
Keywords
DC motors; adaptive control; angular velocity control; control system synthesis; convergence; delays; electric vehicles; state feedback; DC motor; EV system; Lyapunov-Krasovskii functional; NEDC test; adaptive backstepping design; adaptive speed control; controller singularity problem; convergence; light weighted all electric vehicle; new European driving cycle; state feedback control; strict feedback; unknown time delay compensation; Adaptive systems; Backstepping; Control systems; DC motors; Delay effects; Resistance; Windings; Adaptive control; DC motor; backstepping control; electric vehicle; new European driving cycle (NEDC); time delay;
fLanguage
English
Publisher
ieee
Conference_Titel
Engineering and Systems (SCES), 2014 Students Conference on
Conference_Location
Allahabad
Print_ISBN
978-1-4799-4940-3
Type
conf
DOI
10.1109/SCES.2014.6880083
Filename
6880083
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