This paper proposes a novel Hermite neural network-based second-order sliding-mode (HNN-SOSM) control strategy for the synchronous reluctance motor (SynRM) drive system. The proposed HNN-SOSM is nonlinear vector consisting of speed loop and current loop. adopts composite controller, which composed three components: 1) standard super-twisting algorithm-based SOSM (STA-SOSM) controller achieving ...

This paper presents two types of nonlinear controllers for an autonomous quadrotor helicopter. One type, a feedback linearization controller involves high-order derivative terms and turns out to be quite sensitive to sensor noise as well as modeling uncertainty. The second type involves a new approach to an adaptive sliding mode controller using input augmentation in order to account for the un...

The sliding-mode control of nonlinear uncertain systems with un-modeled first-order actuator dynamics has been considered. A 2-SMC scheme with adaptive switching rule has been proposed, and its effectiveness has been shown for a class of systems encompassing non zero-input-stable (ZIS) systems and non-BIBS stable plants. The proposed algorithm is easy to implement and therefore suited to being ...

Aiming at the problem that trajectory tracking error of flexible lower limb exoskeleton robot is too large under condition external disturbance and parameters uncertainty, a composite position control method based on second-order sliding mode was proposed. Firstly, modeled by Lagrange function. Secondly, considering system affected not only matched but also unmatched disturbance, two finite tim...