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 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.