Abstract Nonlinear adaptive sliding mode control (NASMC) has the capability to adequately a system whose parameters are unknown controller designer. Conventional model-based controllers require mathematical dynamic model of with known parameters. These normally determined by extensive identification experiments, which expensive and time-consuming perform. A NASMC approach that does not is propo...

This study focuses on the robust control of stabilized platform of rotary steering drilling system. Firstly, the uncertain and nonlinear mathematical model of stabilized platform is given by considering the outside interference, drilling technology and geometrical parameter perturbation of the borehole on stabilized platform under work condition. Then, an adaptive neural network sliding mode co...

A new design approach for an adaptive fuzzy sliding mode controller (AFSMC) for linear systems with mismatched time-varying uncertainties is presented. The coefficient matrix of the sliding function can be designed to satisfy a sliding coefficient matching condition provided time-varying uncertainties are bounded. With the sliding coefficient matching condition satisfied, an AFSMC is proposed t...

The main objectives of this paper is aimed to control the position of a field oriented Induction Servo motor drive for a given reference input signal in a very efficient way and to compare the two control schemes using Matlab/Simulink. To design a total sliding-mode control system which is insensitive to uncertainties, including parameter variations and external disturbances in the whole contro...