Adaptive fuzzy super-twisting sliding mode controller optimized by ABC for vehicle suspension system

Abstract EN

In this paper, a second order Sliding Mode Controller (SMC), based on Super – Twisting algorithm, Fuzzy estimator and PID controller is presented for quarter vehicle active suspensions.

Because of the chattering that appeared at the output of the system when using first order SMC, second order SMC is preferred.

The proposed controller has been derived in order to achieve the convergence and the stability of the system that can improve the comfortable driving and vehicles safety against different road disturbances.

The Artificial Bee Colony optimization method has been utilized to find the optimal values of the proposed controller parameters.

The obtained results of the simulations have been verified the efficiency and the ability of the proposed control scheme to suppress the oscillations and give the stability of the suspension system in the presence of uncertainty and different road disturbances.