Adaptive Fuzzy Control With Guaranteed Performance For Electric Vehicles

In this paper, we propose a new adaptive fuzzy control scheme with a saturator for a class of constrainted uncertain unparametrizable nonlinear electric vehicle (EV) systems. The control scheme effectively addresses the nonlinearities and uncertainties in the EV systems without exact knowledge inclu...

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Bibliographic Details
Published in2023 35th Chinese Control and Decision Conference (CCDC) pp. 4542 - 4547
Main Authors Huang, Weijun, Su, Hongye, Zhu, Yang
Format Conference Proceeding
LanguageEnglish
Published IEEE 20.05.2023
Subjects
adaptive control
Backstepping
Control systems
electric vehicle (EV)
Electric vehicles
Fuzzy control
Fuzzy logic
fuzzy logic systems
nonlinear systems
Simulation
Uncertainty
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Summary:In this paper, we propose a new adaptive fuzzy control scheme with a saturator for a class of constrainted uncertain unparametrizable nonlinear electric vehicle (EV) systems. The control scheme effectively addresses the nonlinearities and uncertainties in the EV systems without exact knowledge including variable hill climbing angle and other system parameters, and solves the constraints on the amplitude of input voltage. The techniques of adaptive control, fuzzy logic system, and backstepping design are utilized. With the scheme, the speed tracking error of the system converges to a preset interval asymptotically even in the presence of time-varying hill climbing angle and other system parameters. The control algorithm is illustrated by the simulation results.
ISSN:1948-9447
DOI:10.1109/CCDC58219.2023.10326800