Abstract
In this paper, a new fuzzy approach is applied to optimal design of the anti-skid control for electric vehicles. The anti-skid control is used to maintain the wheel speed when there are uncertainties. The control is able to provide an appropriate torque for wheels when the vehicle is about to skid. The friction coefficient and the moments of inertia of wheels and motor are considered as uncertain parameters. These nonlinear, bounded and time-varying uncertainties are described by fuzzy set theory. The control is deterministic and is not based on IF-THEN fuzzy rules. Then, the optimal design for this fuzzy system and control cost is proposed by fuzzy information. In this way, the uniform boundedness and uniform ultimate boundedness are guaranteed and the average fuzzy performance is minimized. Numerical simulations show that the control can prevent vehicle skidding with the minimum control cost under uncertainties.
Highlights
With people’s consciousness on the environment and the development of motor and battery technology, electric vehicles (EVs) are getting great attention these years [1]
The uniform boundedness and uniform ultimate boundedness are ensured for the uncertain EV system based on fuzzy set theory and the Lyapunov approach
8 Conclusions A class of higher-order robust controls are proposed for EVs
Summary
With people’s consciousness on the environment and the development of motor and battery technology, electric vehicles (EVs) are getting great attention these years [1]. The anti-skid control which is related to the safety is one of focuses in EVs research field. [2], a fast feedback control with motor was applied for anti skid control. The braking distance was reduced by 20%. [3], an antiskid controller with PI regulator is designed based on back-EMF observer and dynamic model error observer.
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